Linux/Unix Engineer 18 months + £300 to £350 a day Inside IR35 Hybrid Working in Telford MUST BE ELIGIBLE FOR SECURITY CLEARANCE DXP Talent is seeking a number of Linux and Unix Engineers to provide support, administration, maintenance, and continuous improvement of as part of a Government project click apply for full job details
Aug 23, 2026
Contractor
Linux/Unix Engineer 18 months + £300 to £350 a day Inside IR35 Hybrid Working in Telford MUST BE ELIGIBLE FOR SECURITY CLEARANCE DXP Talent is seeking a number of Linux and Unix Engineers to provide support, administration, maintenance, and continuous improvement of as part of a Government project click apply for full job details
Cyber Security Operations Specialist We are looking for an experienced Cyber Security Operations Specialist to join a growing security team responsible for protecting a complex IT, cloud and operational technology environment. You will play a key role in detecting, investigating and responding to cyber threats, while helping to improve the organisation's overall security monitoring and incident response capabilities. The role combines hands-on security operations, tooling optimisation and continuous improvement across a varied technology estate. Key responsibilities: Monitor, triage and investigate security alerts and incidents across IT, cloud and OT environments. Lead or support incident response, including containment, eradication, recovery and escalation. Develop and optimise SIEM detection rules, EDR policies and security monitoring capabilities. Reduce false positives and improve detection coverage using threat intelligence and incident learnings. Investigate threats using frameworks such as MITRE ATT&CK. Work closely with internal IT, engineering and security teams, alongside external security providers. Maintain and improve security playbooks, procedures, documentation and response processes. Support security reporting, compliance and audit activity. Provide technical guidance and support to junior members of the security team. Key skills and experience: Strong background in Security Operations, SOC or Incident Response. Hands-on experience with SIEM and EDR platforms , ideally including Microsoft security technologies. Experience investigating security incidents across cloud and on-premise environments . Knowledge of Windows environments, with working knowledge of Linux/Unix. Understanding of threat intelligence, IOCs, TTPs and the MITRE ATT&CK framework . Experience improving detection logic, alert quality and security controls. Strong stakeholder communication and incident management skills. Knowledge of frameworks such as ISO 27001, NIS and GDPR would be beneficial. Desirable certifications include: SC-200, SC-300, SC-400, MS-500, Security+ or similar cyber security qualifications. The role will involve participation in an out-of-hours incident response rota , with occasional travel where required.
Aug 22, 2026
Contractor
Cyber Security Operations Specialist We are looking for an experienced Cyber Security Operations Specialist to join a growing security team responsible for protecting a complex IT, cloud and operational technology environment. You will play a key role in detecting, investigating and responding to cyber threats, while helping to improve the organisation's overall security monitoring and incident response capabilities. The role combines hands-on security operations, tooling optimisation and continuous improvement across a varied technology estate. Key responsibilities: Monitor, triage and investigate security alerts and incidents across IT, cloud and OT environments. Lead or support incident response, including containment, eradication, recovery and escalation. Develop and optimise SIEM detection rules, EDR policies and security monitoring capabilities. Reduce false positives and improve detection coverage using threat intelligence and incident learnings. Investigate threats using frameworks such as MITRE ATT&CK. Work closely with internal IT, engineering and security teams, alongside external security providers. Maintain and improve security playbooks, procedures, documentation and response processes. Support security reporting, compliance and audit activity. Provide technical guidance and support to junior members of the security team. Key skills and experience: Strong background in Security Operations, SOC or Incident Response. Hands-on experience with SIEM and EDR platforms , ideally including Microsoft security technologies. Experience investigating security incidents across cloud and on-premise environments . Knowledge of Windows environments, with working knowledge of Linux/Unix. Understanding of threat intelligence, IOCs, TTPs and the MITRE ATT&CK framework . Experience improving detection logic, alert quality and security controls. Strong stakeholder communication and incident management skills. Knowledge of frameworks such as ISO 27001, NIS and GDPR would be beneficial. Desirable certifications include: SC-200, SC-300, SC-400, MS-500, Security+ or similar cyber security qualifications. The role will involve participation in an out-of-hours incident response rota , with occasional travel where required.
QA Test Infrastructure Engineer - Contract - MOD/Defence Somerset 600 per day Outside IR35 DV Security Clearance Required Are you an Infrastructure Test Engineer with strong QA and testing experience across networks, platforms and Infrastructure as Code? This is an opportunity to work on complex Defence and National Security projects, taking responsibility for testing and validating infrastructure before deployment into highly secure production environments. Working alongside Infrastructure Engineers, Architects and DevSecOps specialists, you'll assure infrastructure across physical, virtualised and cloud environments, ensuring it meets the required standards for functionality, resilience and security. What you'll do Create infrastructure-focused test strategies, plans and test cases. Carry out functional, integration, regression, resilience and security testing. Test and validate Infrastructure as Code deployments. Validate physical, virtualised and cloud infrastructure. Provision and verify test environments alongside DevSecOps teams. Build infrastructure validation and readiness testing into CI/CD pipelines. Identify defects, risks and infrastructure issues ahead of production. Support security assurance, compliance and accreditation activities. Maintain appropriate test evidence and traceability. What you'll need Strong infrastructure knowledge combined with hands-on testing and assurance experience, including: Current, DV Security Clearance Networking - TCP/IP, DNS, DHCP, routing, switching, VLANs and firewalls. Linux/Unix administration and troubleshooting. VMware and virtualised infrastructure. Physical infrastructure including routers, switches and cabling. Terraform and Ansible. Kubernetes. AWS, Azure or GCP. Jenkins, GitLab CI or GitHub Actions. Automated infrastructure validation and environment readiness testing. Secure-by-Design, IAM, OS hardening and network segmentation. If you're an Infrastructure Engineer with strong testing experience who enjoys getting into the detail of how infrastructure performs, integrates and stands up before production, get in touch. Expenses are available if you require staying over to be on site 5 days per week
Aug 21, 2026
Contractor
QA Test Infrastructure Engineer - Contract - MOD/Defence Somerset 600 per day Outside IR35 DV Security Clearance Required Are you an Infrastructure Test Engineer with strong QA and testing experience across networks, platforms and Infrastructure as Code? This is an opportunity to work on complex Defence and National Security projects, taking responsibility for testing and validating infrastructure before deployment into highly secure production environments. Working alongside Infrastructure Engineers, Architects and DevSecOps specialists, you'll assure infrastructure across physical, virtualised and cloud environments, ensuring it meets the required standards for functionality, resilience and security. What you'll do Create infrastructure-focused test strategies, plans and test cases. Carry out functional, integration, regression, resilience and security testing. Test and validate Infrastructure as Code deployments. Validate physical, virtualised and cloud infrastructure. Provision and verify test environments alongside DevSecOps teams. Build infrastructure validation and readiness testing into CI/CD pipelines. Identify defects, risks and infrastructure issues ahead of production. Support security assurance, compliance and accreditation activities. Maintain appropriate test evidence and traceability. What you'll need Strong infrastructure knowledge combined with hands-on testing and assurance experience, including: Current, DV Security Clearance Networking - TCP/IP, DNS, DHCP, routing, switching, VLANs and firewalls. Linux/Unix administration and troubleshooting. VMware and virtualised infrastructure. Physical infrastructure including routers, switches and cabling. Terraform and Ansible. Kubernetes. AWS, Azure or GCP. Jenkins, GitLab CI or GitHub Actions. Automated infrastructure validation and environment readiness testing. Secure-by-Design, IAM, OS hardening and network segmentation. If you're an Infrastructure Engineer with strong testing experience who enjoys getting into the detail of how infrastructure performs, integrates and stands up before production, get in touch. Expenses are available if you require staying over to be on site 5 days per week
Azure DevOps Engineer Contract Inside IR per day Location: Remote, with 1 day per month in EITHER Newcastle or Leeds The Opportunity We're looking for an experienced Azure DevOps Engineer to support one of our central governnent clients Azure Data Platform team, helping to build, automate, enhance and support cloud-native platforms and DevOps capabilities across a complex Azure estate. The Role As an Azure DevOps Engineer, you will be responsible for designing, implementing and supporting cloud infrastructure, CI/CD pipelines and platform automation across Microsoft's Azure Data Platform. You'll work closely with engineering and delivery teams to build resilient, scalable and highly available solutions while promoting DevOps best practices and an automation-first mindset. Key responsibilities include: Designing and maintaining CI/CD pipelines and DevOps toolchains. Building and automating Azure-based infrastructure and platform services. Supporting Azure Data Platform services across multiple environments. Working with product and engineering teams to gather requirements and implement technical solutions. Developing Infrastructure as Code and Configuration as Code solutions. Provisioning environments and supporting operational issues. Driving engineering best practice, automation and platform improvements. Supporting proof of concepts, innovation projects and continuous improvement initiatives. Mentoring and supporting engineers within Agile delivery teams. Essential Skills & Experience Azure Data Platform (Essential) Candidates must demonstrate hands-on experience (minimum SFIA Level 4 equivalent) across: Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Azure & DevOps Strong experience supporting and developing Azure cloud-based platforms and applications. Experience implementing and maintaining CI/CD pipelines. Azure DevOps, GitLab or similar DevOps tooling experience. Infrastructure as Code (IaC) and Configuration as Code experience. Strong Terraform experience. Scripting & Operating Systems Experience working within Linux, Unix and Windows environments. Strong scripting experience using PowerShell, Bash or similar. Experience supporting and automating cloud infrastructure. Monitoring & Observability Experience implementing and maintaining monitoring and alerting solutions. Experience with tools such as: Prometheus Grafana Azure Monitor Log Analytics Agile & DevOps Delivery Proven experience working within Agile DevOps environments. Continuous Integration and Continuous Deployment experience. Experience working across Scrum and/or Kanban delivery teams. Leadership & Collaboration Ability to work independently on complex technical issues. Experience supporting, mentoring and guiding engineering teams. Strong stakeholder engagement and communication skills. Demonstrable ownership and accountability for technical delivery.
Aug 21, 2026
Contractor
Azure DevOps Engineer Contract Inside IR per day Location: Remote, with 1 day per month in EITHER Newcastle or Leeds The Opportunity We're looking for an experienced Azure DevOps Engineer to support one of our central governnent clients Azure Data Platform team, helping to build, automate, enhance and support cloud-native platforms and DevOps capabilities across a complex Azure estate. The Role As an Azure DevOps Engineer, you will be responsible for designing, implementing and supporting cloud infrastructure, CI/CD pipelines and platform automation across Microsoft's Azure Data Platform. You'll work closely with engineering and delivery teams to build resilient, scalable and highly available solutions while promoting DevOps best practices and an automation-first mindset. Key responsibilities include: Designing and maintaining CI/CD pipelines and DevOps toolchains. Building and automating Azure-based infrastructure and platform services. Supporting Azure Data Platform services across multiple environments. Working with product and engineering teams to gather requirements and implement technical solutions. Developing Infrastructure as Code and Configuration as Code solutions. Provisioning environments and supporting operational issues. Driving engineering best practice, automation and platform improvements. Supporting proof of concepts, innovation projects and continuous improvement initiatives. Mentoring and supporting engineers within Agile delivery teams. Essential Skills & Experience Azure Data Platform (Essential) Candidates must demonstrate hands-on experience (minimum SFIA Level 4 equivalent) across: Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Azure & DevOps Strong experience supporting and developing Azure cloud-based platforms and applications. Experience implementing and maintaining CI/CD pipelines. Azure DevOps, GitLab or similar DevOps tooling experience. Infrastructure as Code (IaC) and Configuration as Code experience. Strong Terraform experience. Scripting & Operating Systems Experience working within Linux, Unix and Windows environments. Strong scripting experience using PowerShell, Bash or similar. Experience supporting and automating cloud infrastructure. Monitoring & Observability Experience implementing and maintaining monitoring and alerting solutions. Experience with tools such as: Prometheus Grafana Azure Monitor Log Analytics Agile & DevOps Delivery Proven experience working within Agile DevOps environments. Continuous Integration and Continuous Deployment experience. Experience working across Scrum and/or Kanban delivery teams. Leadership & Collaboration Ability to work independently on complex technical issues. Experience supporting, mentoring and guiding engineering teams. Strong stakeholder engagement and communication skills. Demonstrable ownership and accountability for technical delivery.
UNIX Engineer Location: Barrow-in-Furness (On-site) Security Clearance: SC Cleared or Eligible to Obtain SC Employment Type: Contract Inside IR35 Damia Group is a specialist technology recruitment partner, supporting the delivery of critical programmes across the Defence, Government and National Security sectors click apply for full job details
Aug 21, 2026
Contractor
UNIX Engineer Location: Barrow-in-Furness (On-site) Security Clearance: SC Cleared or Eligible to Obtain SC Employment Type: Contract Inside IR35 Damia Group is a specialist technology recruitment partner, supporting the delivery of critical programmes across the Defence, Government and National Security sectors click apply for full job details
o3schools is offering an unpaid Facebook Production Engineering Internship located in London, UK. Interns will assist as hybrid software/systems engineers to ensure Facebook's services run smoothly and can support future growth. Applicants must be pursuing a BS or MS in Computer Science or Engineering and possess communication skills. Basic proficiency in UNIX and coding requires good analytical skills. This opportunity is specifically for international students looking to gain experience in the field of production engineering.
Aug 21, 2026
Full time
o3schools is offering an unpaid Facebook Production Engineering Internship located in London, UK. Interns will assist as hybrid software/systems engineers to ensure Facebook's services run smoothly and can support future growth. Applicants must be pursuing a BS or MS in Computer Science or Engineering and possess communication skills. Basic proficiency in UNIX and coding requires good analytical skills. This opportunity is specifically for international students looking to gain experience in the field of production engineering.
Applied Scientist, Ads Brand Safety and Suitability Job ID: Amazon Development Centre (London) Limited Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy-violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand-side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low-quality, deceptive, AI-generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Scientist to work on the next generation of AI-powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. You will build systems that make millisecond-level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science strategy for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification and disruption. You will define how modern AI separates high-quality advertising inventory from unsafe, unsuitable, and policy-violating content - across web, mobile app, CTV, and audio surfaces. What Makes This Role Unique Generative AI has dramatically lowered the cost of producing deceptive, policy-evasive content, and the adversary evolves daily. Your detection systems must reason contextually, adapt rapidly, and generalize beyond previously seen content risk patterns. Static models fail here; you will build living systems that learn and respond in real time. You will do this at internet scale, developing low-latency ML and LLM-powered systems evaluating content safety, brand suitability, misinformation risk, and emerging content risk vectors across massive real-time traffic streams, making billions of decisions per day with single-digit millisecond latency constraints. This role sits at the intersection of frontier AI research and large-scale production engineering, combining deep science, system-wide impact, and business-critical outcomes. The models your team ships directly influence billions of dollars in advertising spend and the trust of the world's largest brands in Amazon DSP. The Science Problems Are Genuinely Hard You will tackle challenges including detecting sophisticated AI-generated and synthetic content, understanding nuanced contextual brand risk, identifying coordinated MFA space before they scale, balancing precision, recall, latency, explainability, and fairness, designing adaptive models resilient to adversarial evolution, and leveraging LLMs for semantic understanding in real-time, latency-constrained environments. Why This Matters Few roles offer the opportunity to work at the intersection of frontier AI, internet-scale production systems, adversarial environments, and business-critical impact - while tackling open-ended scientific challenges with real-world societal relevance. As AI reshapes the internet, the systems your team built will define what trustworthy, high-quality digital systems look like for the next decade. Key job responsibilities Own the science strategy for AI-powered brand safety classification across web, mobile app, CTV, and audio surfaces. Build LLM-powered content classification systems making billions of decisions/day at single-digit millisecond latency Develop multimodal evaluation pipelines reasoning across text, images, audio, and video in real time Design adaptive ML systems resilient to adversarial evolution continuously learning rather than relying on static models Build proactive risk intelligence systems that surface emerging content risk vectors through automated hunting Develop semantic understanding for nuanced contextual brand risk. Balance precision, recall, latency, explainability, and fairness at internet scale Define measurement frameworks and drive continuous improvement Translate research into production - own the path from prototype to deployed model Publish at peer-reviewed venues; contribute to the scientific community in adversarial ML, NLP, and content safety Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 21, 2026
Full time
Applied Scientist, Ads Brand Safety and Suitability Job ID: Amazon Development Centre (London) Limited Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy-violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand-side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low-quality, deceptive, AI-generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Scientist to work on the next generation of AI-powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. You will build systems that make millisecond-level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science strategy for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification and disruption. You will define how modern AI separates high-quality advertising inventory from unsafe, unsuitable, and policy-violating content - across web, mobile app, CTV, and audio surfaces. What Makes This Role Unique Generative AI has dramatically lowered the cost of producing deceptive, policy-evasive content, and the adversary evolves daily. Your detection systems must reason contextually, adapt rapidly, and generalize beyond previously seen content risk patterns. Static models fail here; you will build living systems that learn and respond in real time. You will do this at internet scale, developing low-latency ML and LLM-powered systems evaluating content safety, brand suitability, misinformation risk, and emerging content risk vectors across massive real-time traffic streams, making billions of decisions per day with single-digit millisecond latency constraints. This role sits at the intersection of frontier AI research and large-scale production engineering, combining deep science, system-wide impact, and business-critical outcomes. The models your team ships directly influence billions of dollars in advertising spend and the trust of the world's largest brands in Amazon DSP. The Science Problems Are Genuinely Hard You will tackle challenges including detecting sophisticated AI-generated and synthetic content, understanding nuanced contextual brand risk, identifying coordinated MFA space before they scale, balancing precision, recall, latency, explainability, and fairness, designing adaptive models resilient to adversarial evolution, and leveraging LLMs for semantic understanding in real-time, latency-constrained environments. Why This Matters Few roles offer the opportunity to work at the intersection of frontier AI, internet-scale production systems, adversarial environments, and business-critical impact - while tackling open-ended scientific challenges with real-world societal relevance. As AI reshapes the internet, the systems your team built will define what trustworthy, high-quality digital systems look like for the next decade. Key job responsibilities Own the science strategy for AI-powered brand safety classification across web, mobile app, CTV, and audio surfaces. Build LLM-powered content classification systems making billions of decisions/day at single-digit millisecond latency Develop multimodal evaluation pipelines reasoning across text, images, audio, and video in real time Design adaptive ML systems resilient to adversarial evolution continuously learning rather than relying on static models Build proactive risk intelligence systems that surface emerging content risk vectors through automated hunting Develop semantic understanding for nuanced contextual brand risk. Balance precision, recall, latency, explainability, and fairness at internet scale Define measurement frameworks and drive continuous improvement Translate research into production - own the path from prototype to deployed model Publish at peer-reviewed venues; contribute to the scientific community in adversarial ML, NLP, and content safety Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Applied Scientist, Amazon Transportation Job ID: Amazon UK Services Ltd. Amazon's Middle Mile Science group is looking for an Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing models, as well as the application of causal inference and artificial intelligence techniques, to improve marketplace services and execution for our customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial intelligence to coordinate thousands of operators and drivers. This includes shipper-facing and carrier-facing marketplace algorithms as well as network planning and optimization tools. Amazon often finds that existing techniques do not match our unique business needs, driving the innovation of new approaches and algorithms. As an Applied Scientist responsible for middle mile transportation, you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility, and make decisions that affect the way we build and integrate algorithms across our product portfolio. About the team Our Middle Mile Marketplace Science team builds the algorithms for Amazon's rapidly growing freight marketplace. Amazon contracts with 3P shippers and a network of independent carriers, using a mix of contract structures with varying service and risk profiles. Our work focuses on mechanisms and learning algorithms to optimize pricing and matching in this complex marketplace, and continually improve the experience for carriers and shippers. This is an area with many challenging problems and a huge business impact for Amazon! Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 20, 2026
Full time
Applied Scientist, Amazon Transportation Job ID: Amazon UK Services Ltd. Amazon's Middle Mile Science group is looking for an Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing models, as well as the application of causal inference and artificial intelligence techniques, to improve marketplace services and execution for our customers. The Middle Mile Science group develops optimization and machine learning systems that power Amazon's freight transportation network, from network design and pricing to real-time load planning and capacity utilization. The scale of Amazon's fulfillment operations requires robust transportation networks that minimize cost while meeting all customer deadlines. Real-time execution depends on state-of-the-art optimization and artificial intelligence to coordinate thousands of operators and drivers. This includes shipper-facing and carrier-facing marketplace algorithms as well as network planning and optimization tools. Amazon often finds that existing techniques do not match our unique business needs, driving the innovation of new approaches and algorithms. As an Applied Scientist responsible for middle mile transportation, you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility, and make decisions that affect the way we build and integrate algorithms across our product portfolio. About the team Our Middle Mile Marketplace Science team builds the algorithms for Amazon's rapidly growing freight marketplace. Amazon contracts with 3P shippers and a network of independent carriers, using a mix of contract structures with varying service and risk profiles. Our work focuses on mechanisms and learning algorithms to optimize pricing and matching in this complex marketplace, and continually improve the experience for carriers and shippers. This is an area with many challenging problems and a huge business impact for Amazon! Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our world-leading Time & Frequency departmentis seeking a Senior Software Engineer with expertise in Unix/Linux software development and containerisation. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by agovernment investment of £180 millionin theNational Timing Centre (NTC) programme, we are developi click apply for full job details
Aug 17, 2026
Full time
Our world-leading Time & Frequency departmentis seeking a Senior Software Engineer with expertise in Unix/Linux software development and containerisation. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by agovernment investment of £180 millionin theNational Timing Centre (NTC) programme, we are developi click apply for full job details
We're seeking someone to join our team as aaJava developer to work on automated trading systems, primarily in the Equities domain. The candidate should possess good analytical skills & computer programming experience, a logical approach to problem solving. The role involves building, deploying & supporting algorithmic trading strategies, analytical tools and scalable trading engine infrastructure, working as part of a fast-moving IT / quant / trading team. The candidate should be a strong problem solver and be able to work in a fast-paced environment.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.This is a Lead Software Engineering position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the worldWhat you'll do in the role:Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.You will be using core Java development to build and enhance trading strategies and enginesThe role involves working directly with the global trading, quant and IT teams to advance the platform and the businesses it servesThe project portfolio is typically varied, spanning new and existing algorithm development, improving the technical and execution performance of trading systems, the generation and analysis of trading signals & dataYou will part of a team which is involved in the full system development lifecycle from discussing and agreeing requirements through to designing, developing and deploying the changesThe systems you will work on are high volume, low latency, resilient, scalable and message-driven based on cutting edge Java and utilising the latest hardwareWhat you'll bring to the role:Ability to effectively manage multiple functions or guide junior staff and initiatives.Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.Core Java knowledge in a UNIX/Linux environment.Ability to analyse business & technical requirements and translate them into a well designed & programmed solutionA logical approach to problem solving and good analytical skillsStrong communication skills and ability to work in a global teamExperience with Git/Stash and JenkinsExperience with unit testing frameworks such as JUnitAn interest to learn the business supported by the applicationsGood Linux fundamentalsInterest in developing systems for automated market making, DMA or algo trading group in liquid markets (equities, FX, liquid rates, etc.) using FIX protocolExperience with web service development, REST, TypeScript knowledge with preferably Angular frameworkExperience with low-latency messaging middleware pub/sub technologies.Experience of time-series data analysis in technologies such as KDB/q YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste into your browser.Certified Persons Regulatory Requirements:If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.Flexible work statementInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .
Aug 10, 2026
Full time
We're seeking someone to join our team as aaJava developer to work on automated trading systems, primarily in the Equities domain. The candidate should possess good analytical skills & computer programming experience, a logical approach to problem solving. The role involves building, deploying & supporting algorithmic trading strategies, analytical tools and scalable trading engine infrastructure, working as part of a fast-moving IT / quant / trading team. The candidate should be a strong problem solver and be able to work in a fast-paced environment.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.This is a Lead Software Engineering position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the worldWhat you'll do in the role:Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.You will be using core Java development to build and enhance trading strategies and enginesThe role involves working directly with the global trading, quant and IT teams to advance the platform and the businesses it servesThe project portfolio is typically varied, spanning new and existing algorithm development, improving the technical and execution performance of trading systems, the generation and analysis of trading signals & dataYou will part of a team which is involved in the full system development lifecycle from discussing and agreeing requirements through to designing, developing and deploying the changesThe systems you will work on are high volume, low latency, resilient, scalable and message-driven based on cutting edge Java and utilising the latest hardwareWhat you'll bring to the role:Ability to effectively manage multiple functions or guide junior staff and initiatives.Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.Core Java knowledge in a UNIX/Linux environment.Ability to analyse business & technical requirements and translate them into a well designed & programmed solutionA logical approach to problem solving and good analytical skillsStrong communication skills and ability to work in a global teamExperience with Git/Stash and JenkinsExperience with unit testing frameworks such as JUnitAn interest to learn the business supported by the applicationsGood Linux fundamentalsInterest in developing systems for automated market making, DMA or algo trading group in liquid markets (equities, FX, liquid rates, etc.) using FIX protocolExperience with web service development, REST, TypeScript knowledge with preferably Angular frameworkExperience with low-latency messaging middleware pub/sub technologies.Experience of time-series data analysis in technologies such as KDB/q YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste into your browser.Certified Persons Regulatory Requirements:If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.Flexible work statementInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit: .
Contribute to leading-edge security and resilience efforts, advancing protective strategies and propelling continuous improvement. As an Assessments & Exercises Vice President in the Penetration Testing team, you will contribute significantly to enhancing the firm's cybersecurity or resiliency posture by using industry-standard assessment methodologies and techniques to proactively identify risks and vulnerabilities in people, processes, and technology. As part of the team, your primary responsibility will be performing hands on penetration testing of some of JPMC's most critical applications, platforms, and the perimeter. You will work with application developers to not only understand root cause and mitigate vulnerabilities, but also to identify where vulnerabilities can be identified earlier in the SDLC. Successful candidates are expected to demonstrate an eagerness to learn, the drive to excel, excellent technical knowledge of security concepts and proven expertise in penetration testing. Job responsibilities Design and execute testing and simulations - such as penetration tests and contribute to the development and refinement of assessment methodologies, tools, and frameworks to ensure alignment with the firm's strategy and compliance with regulatory requirements Evaluate controls for effectiveness and impact on operational risk, as well as opportunities to automate control evaluation Collaborate closely with cross-functional teams to develop comprehensive assessment reports - including detailed findings, risk assessments, and remediation recommendations - making data-driven decisions that encourage continuous improvement Utilize threat intelligence and security research to stay informed about emerging threats, vulnerabilities, industry best practices, and regulations. Apply this knowledge to enhance the firm's assessment strategy and risk management. Engage with peers and industry groups that share threat intelligence analytics Required qualifications, capabilities, and skills 5+ years of experience in conducting manual penetration tests against a wide variety of applications and technologies including web, mobile and thick clients, internal and external facing infrastructures, cloud Foundational knowledge of cybersecurity organization practices, operations, risk management processes, principles, architectural requirements, engineering and threats and vulnerabilities, including incident response methodologies Ability to identify systemic security or resiliency issues as they relate to threats, vulnerabilities, or risks, with a focus on recommendations for enhancements or remediation, and proficiency in multiple security assessment methodologies (e.g., Open Worldwide Application Security Project (OWASP) Top Ten, National Institute of Standards and Technology (NIST) Cybersecurity Framework), offensive testing tools, or resiliency testing equivalents Excellent communication, collaboration, and report writing skills, with the ability to influence and engage stakeholders across various functions and levels Preferred qualifications, capabilities, and skills Experience in testing Public cloud environments like AWS, Azure and GCP with proficiency in at least one platform. Experience in reverse engineering standalone, thick client and mobile applications. Proficiency in security concepts for both Windows and Unix-like Operating Systems. Experience in source code review and/or building software with multiple programming languages (i.e. Python, Java, Rust, etc.). Certifications like CREST (CRT, CCT), OSCP, OSCE, GXPN, GRE. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Aug 08, 2026
Full time
Contribute to leading-edge security and resilience efforts, advancing protective strategies and propelling continuous improvement. As an Assessments & Exercises Vice President in the Penetration Testing team, you will contribute significantly to enhancing the firm's cybersecurity or resiliency posture by using industry-standard assessment methodologies and techniques to proactively identify risks and vulnerabilities in people, processes, and technology. As part of the team, your primary responsibility will be performing hands on penetration testing of some of JPMC's most critical applications, platforms, and the perimeter. You will work with application developers to not only understand root cause and mitigate vulnerabilities, but also to identify where vulnerabilities can be identified earlier in the SDLC. Successful candidates are expected to demonstrate an eagerness to learn, the drive to excel, excellent technical knowledge of security concepts and proven expertise in penetration testing. Job responsibilities Design and execute testing and simulations - such as penetration tests and contribute to the development and refinement of assessment methodologies, tools, and frameworks to ensure alignment with the firm's strategy and compliance with regulatory requirements Evaluate controls for effectiveness and impact on operational risk, as well as opportunities to automate control evaluation Collaborate closely with cross-functional teams to develop comprehensive assessment reports - including detailed findings, risk assessments, and remediation recommendations - making data-driven decisions that encourage continuous improvement Utilize threat intelligence and security research to stay informed about emerging threats, vulnerabilities, industry best practices, and regulations. Apply this knowledge to enhance the firm's assessment strategy and risk management. Engage with peers and industry groups that share threat intelligence analytics Required qualifications, capabilities, and skills 5+ years of experience in conducting manual penetration tests against a wide variety of applications and technologies including web, mobile and thick clients, internal and external facing infrastructures, cloud Foundational knowledge of cybersecurity organization practices, operations, risk management processes, principles, architectural requirements, engineering and threats and vulnerabilities, including incident response methodologies Ability to identify systemic security or resiliency issues as they relate to threats, vulnerabilities, or risks, with a focus on recommendations for enhancements or remediation, and proficiency in multiple security assessment methodologies (e.g., Open Worldwide Application Security Project (OWASP) Top Ten, National Institute of Standards and Technology (NIST) Cybersecurity Framework), offensive testing tools, or resiliency testing equivalents Excellent communication, collaboration, and report writing skills, with the ability to influence and engage stakeholders across various functions and levels Preferred qualifications, capabilities, and skills Experience in testing Public cloud environments like AWS, Azure and GCP with proficiency in at least one platform. Experience in reverse engineering standalone, thick client and mobile applications. Proficiency in security concepts for both Windows and Unix-like Operating Systems. Experience in source code review and/or building software with multiple programming languages (i.e. Python, Java, Rust, etc.). Certifications like CREST (CRT, CCT), OSCP, OSCE, GXPN, GRE. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Data Intellect Limited seeks a Senior kdb+ Engineer in Belfast to lead high-performance projects in data-driven finance. You will design robust kdb+ architectures and mentor junior developers while collaborating with quants and analysts. The ideal candidate has over 7 years of kdb+ experience and a strong Unix/Linux background. This role offers both contract and permanent opportunities, contributing to innovative solutions for high-stakes financial clients.
Aug 06, 2026
Full time
Data Intellect Limited seeks a Senior kdb+ Engineer in Belfast to lead high-performance projects in data-driven finance. You will design robust kdb+ architectures and mentor junior developers while collaborating with quants and analysts. The ideal candidate has over 7 years of kdb+ experience and a strong Unix/Linux background. This role offers both contract and permanent opportunities, contributing to innovative solutions for high-stakes financial clients.
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 5+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time series databases. Exposure to tick data, real time analytics, electronic trading systems. People management or team leadership experience. Why Join Data Intellect? Hybrid & flexible working - balance your time between home and our global offices. Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond. Continuous learning - day one access to paid training, certifications and leadership development. Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development. Healthcare & wellbeing - provider dependent on region. Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder. Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.
Aug 06, 2026
Full time
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 5+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time series databases. Exposure to tick data, real time analytics, electronic trading systems. People management or team leadership experience. Why Join Data Intellect? Hybrid & flexible working - balance your time between home and our global offices. Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond. Continuous learning - day one access to paid training, certifications and leadership development. Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development. Healthcare & wellbeing - provider dependent on region. Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder. Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.
Data Intellect Limited is seeking a Senior kdb+ Engineer to lead technical deliveries for financial institutions. You will design robust kdb+ architectures and collaborate with quants, traders, and analysts to create efficient solutions. The ideal candidate will have over 5 years of kdb+ development experience, strong Unix/Linux skills, and excellent communication abilities. Join a team that values innovation and offers hybrid working options along with career growth opportunities.
Aug 06, 2026
Full time
Data Intellect Limited is seeking a Senior kdb+ Engineer to lead technical deliveries for financial institutions. You will design robust kdb+ architectures and collaborate with quants, traders, and analysts to create efficient solutions. The ideal candidate will have over 5 years of kdb+ development experience, strong Unix/Linux skills, and excellent communication abilities. Join a team that values innovation and offers hybrid working options along with career growth opportunities.
Data Intellect Limited is seeking a Senior kdb+ Engineer to lead technical delivery on client projects and design scalable architectures for time-series data. Your role will involve mentoring junior developers and driving innovation in kdb+ techniques. Ideal candidates have over 5 years of kdb+ development experience and a strong background in Unix/Linux environments. The position supports hybrid working, offering global opportunities with clients across major financial hubs.
Aug 05, 2026
Full time
Data Intellect Limited is seeking a Senior kdb+ Engineer to lead technical delivery on client projects and design scalable architectures for time-series data. Your role will involve mentoring junior developers and driving innovation in kdb+ techniques. Ideal candidates have over 5 years of kdb+ development experience and a strong background in Unix/Linux environments. The position supports hybrid working, offering global opportunities with clients across major financial hubs.
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications. Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 7+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision-making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent opportunities available. Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast! Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.
Aug 05, 2026
Full time
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications. Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 7+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision-making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent opportunities available. Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast! Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 5+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time series databases. Exposure to tick data, real time analytics, electronic trading systems. People management or team leadership experience. Why Join Data Intellect? Hybrid & flexible working - balance your time between home and our global offices. Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond. Continuous learning - day one access to paid training, certifications and leadership development. Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development. Healthcare & wellbeing - provider dependent on region. Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder. Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.
Aug 05, 2026
Full time
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 5+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time series databases. Exposure to tick data, real time analytics, electronic trading systems. People management or team leadership experience. Why Join Data Intellect? Hybrid & flexible working - balance your time between home and our global offices. Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond. Continuous learning - day one access to paid training, certifications and leadership development. Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development. Healthcare & wellbeing - provider dependent on region. Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder. Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications. Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 7+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision-making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent opportunities available. Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast! Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.
Aug 05, 2026
Full time
Join the world's largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. As a Senior kdb+ Engineer at DI you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll: Lead technical delivery on client projects, setting the standard for quality and performance. Design and implement robust kdb+ architectures that handle billions of rows of time-series data. Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. Mentor and guide junior and mid-level developers, fostering a culture of technical excellence. Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications. Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies. What You Bring 7+ years of hands on kdb+ development, with deep expertise in q and time-series data. Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production. Strong background in Unix/Linux environments and scripting. Demonstrated technical leadership and decision-making in fast paced projects. Excellent communication skills to explain complex systems to both technical and non technical stakeholders. Experience in capital markets or investment banking, understanding of the domain and its demands. A passion for clean, performant code and continuous improvement. Bonus Points For: Experience with AI tooling (Claude, Co Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases. Exposure to tick data, real-time analytics, electronic trading systems. People management or team leadership experience. Contract and permanent opportunities available. Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast! Fair Employment & Equal Opportunities We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.
Quantitative Research Analyst, MortgagesApplylocations: London, GBRtime type: Full timeposted on: Posted Todayjob requisition id: R106492PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world's largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. JOB DESCRIPTION The alternatives business at PIMCO continues to expand its fund offerings and remains a key growth area for the firm. We are seeking a quantitative analyst / desk quant to join our London front office trading mortgages analytics team to support this expansion and assist Portfolio Managers in their investment and asset management decisions.The chosen candidate will be highly technical and have a good understanding of mortgage analytics / modelling. Ideally you will have a front office quant (sell or buy side) background and be proficient in developing new pricing models and implementing into Python code. An ability to develop new approaches to pricing bespoke transaction features is important, as is experience with working with, and contributing to, large coding infrastructures. Ability to work closely with Portfolio Managers and build strong relationships is highly desirable. RESPONSIBILITIES Coverage includes RMBS and broader ABS markets across core and peripheral Europe (UK, Netherlands, Spain, Italy), spanning both liquid and illiquid opportunities Focus on non-agency and complex structures, including mezzanine/equity tranches and legacy dislocated securitized assets Significant exposure to non-performing and re-performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures Emphasis on loan-level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed structured products Minimum of 3 years of relevant professional experience at a top sell-side or buy-side institution in a front office quantitative role Exceptional quant / analytical skills - knowledge of advanced pricing techniques (Monte Carlo, prepayment modelling and scenario engines), asset pricing theory, probability theory, and cash flow / bond maths (e.g. OAS calculations) Experience designing, coding, and implementing pricing and surveillance frameworks for automation / streamlining of tasks Strong coding skills in Python - candidates for whom Python experience is limited to occasional / hobby usage should not apply Familiar with statistical coding packages and modelling in SAS, R or Python Working knowledge of Linux/Unix/Bash and SQL would be a plus.
Jul 31, 2026
Full time
Quantitative Research Analyst, MortgagesApplylocations: London, GBRtime type: Full timeposted on: Posted Todayjob requisition id: R106492PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world's largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. JOB DESCRIPTION The alternatives business at PIMCO continues to expand its fund offerings and remains a key growth area for the firm. We are seeking a quantitative analyst / desk quant to join our London front office trading mortgages analytics team to support this expansion and assist Portfolio Managers in their investment and asset management decisions.The chosen candidate will be highly technical and have a good understanding of mortgage analytics / modelling. Ideally you will have a front office quant (sell or buy side) background and be proficient in developing new pricing models and implementing into Python code. An ability to develop new approaches to pricing bespoke transaction features is important, as is experience with working with, and contributing to, large coding infrastructures. Ability to work closely with Portfolio Managers and build strong relationships is highly desirable. RESPONSIBILITIES Coverage includes RMBS and broader ABS markets across core and peripheral Europe (UK, Netherlands, Spain, Italy), spanning both liquid and illiquid opportunities Focus on non-agency and complex structures, including mezzanine/equity tranches and legacy dislocated securitized assets Significant exposure to non-performing and re-performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures Emphasis on loan-level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed structured products Minimum of 3 years of relevant professional experience at a top sell-side or buy-side institution in a front office quantitative role Exceptional quant / analytical skills - knowledge of advanced pricing techniques (Monte Carlo, prepayment modelling and scenario engines), asset pricing theory, probability theory, and cash flow / bond maths (e.g. OAS calculations) Experience designing, coding, and implementing pricing and surveillance frameworks for automation / streamlining of tasks Strong coding skills in Python - candidates for whom Python experience is limited to occasional / hobby usage should not apply Familiar with statistical coding packages and modelling in SAS, R or Python Working knowledge of Linux/Unix/Bash and SQL would be a plus.
Role Overview Sr. Manager, Site Reliability Engineering (London) is an experienced leader responsible for overseeing a globally distributed team of SRE technologists with diverse skills in software development, systems, network, application, and/or database management. This role ensures seamless, continuous coverage of Cboe's real time low latency trading platforms around the clock and provides direct platform support for Cboe's European operations. Responsibilities Technical Leadership & System Availability: Provide technical leadership, support and operational oversight to sustain resiliency and high availability of critical business operations across European and GTH market sessions; monitor production, disaster recovery and certification systems; troubleshoot and drive resolution of issues; analyze and optimize performance of real time trading platforms; oversee daily system checks and ensure platforms are operating as expected; take direct action to resolve known issues; assist the build team to resolve build/deployment issues. People Leadership & Team Development: Lead, mentor and provide guidance to direct reports across European and APAC time zones; delegate assignments; create and execute agile based processes such as Kanban and Scrum; connect direct reports to others within and across the organization; support training and development; establish operational objectives, policies and procedures; liaise with management and other stakeholders. Platform Configuration Management & Project Oversight: Develop and manage operational initiatives; translate functional plans into operational processes; guide execution and provide project management support; deliver tactical results; manage configuration of new and existing trading platforms; prepare for new features; monitor development activities, change management tickets, evaluate impact; approve and execute daily change tickets; organize testing prior to deployment; work with software engineering to resolve systemic issues; ensure compliance obligations are met. Incident Response & Escalation Management: Serve as senior escalation point for production incidents across European and GTH market hours; coordinate incident triage, root cause analysis and resolution; provide timely communication to stakeholders; drive post incident reviews and remediation tracking. Subject Matter Expertise & Stakeholder Engagement: Provide subject matter expertise on all aspects of platforms; advise teams on moderately complex matters; liaise with vendors and facilities operators supporting critical financial infrastructure. Reporting & Data Analysis: Create and improve reports related to Operations management; analyze technical data sets to troubleshoot or explain perceived issues; use SQL, UNIX shell and other tools to gather and analyze data. Capacity Planning: Drive capacity planning decisions for Cboe Exchanges, especially within the European region; support capacity planning needs of various business units; participate in capacity planning meetings. Automation & Process Improvement: Identify and lead task automation opportunities; develop, test and maintain Python tools; leverage AI to maximize efficiency. On Call & Weekend Testing: Lead and participate in weekend testing (e.g., capacity testing, fail over); provide follow the sun on call technical support as part of the global Operations team. Qualifications Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Business, Financial Services, Communications, or a related discipline (Master's preferred). Experience & Technical Skills: Deep subject matter expertise in one or more of the following areas: Technical Operations; UNIX Shell; Software Engineering or Systems, Network, or Database Administration; SQL; Python, C++, or other programming language; Leadership or Senior Role; Networking (TCP/IP and Multicast) and NIC Configuration. Communication & Language Skills: Fluency in English - both written and spoken - is required; clear, precise and unambiguous communication across time zones, cultures and technical disciplines. Global Markets Awareness: Familiarity with European markets and US equities, options, and/or futures market structures is strongly preferred; situational awareness across multiple market sessions and regulatory environments. Benefits & Perks Competitive total rewards package including private healthcare coverage, pension contributions, professional development opportunities, and access to global employee resource groups and internal mobility programs. Equal Opportunity Employer Cboe Global Markets is an Equal Opportunity Employer.
Jul 31, 2026
Full time
Role Overview Sr. Manager, Site Reliability Engineering (London) is an experienced leader responsible for overseeing a globally distributed team of SRE technologists with diverse skills in software development, systems, network, application, and/or database management. This role ensures seamless, continuous coverage of Cboe's real time low latency trading platforms around the clock and provides direct platform support for Cboe's European operations. Responsibilities Technical Leadership & System Availability: Provide technical leadership, support and operational oversight to sustain resiliency and high availability of critical business operations across European and GTH market sessions; monitor production, disaster recovery and certification systems; troubleshoot and drive resolution of issues; analyze and optimize performance of real time trading platforms; oversee daily system checks and ensure platforms are operating as expected; take direct action to resolve known issues; assist the build team to resolve build/deployment issues. People Leadership & Team Development: Lead, mentor and provide guidance to direct reports across European and APAC time zones; delegate assignments; create and execute agile based processes such as Kanban and Scrum; connect direct reports to others within and across the organization; support training and development; establish operational objectives, policies and procedures; liaise with management and other stakeholders. Platform Configuration Management & Project Oversight: Develop and manage operational initiatives; translate functional plans into operational processes; guide execution and provide project management support; deliver tactical results; manage configuration of new and existing trading platforms; prepare for new features; monitor development activities, change management tickets, evaluate impact; approve and execute daily change tickets; organize testing prior to deployment; work with software engineering to resolve systemic issues; ensure compliance obligations are met. Incident Response & Escalation Management: Serve as senior escalation point for production incidents across European and GTH market hours; coordinate incident triage, root cause analysis and resolution; provide timely communication to stakeholders; drive post incident reviews and remediation tracking. Subject Matter Expertise & Stakeholder Engagement: Provide subject matter expertise on all aspects of platforms; advise teams on moderately complex matters; liaise with vendors and facilities operators supporting critical financial infrastructure. Reporting & Data Analysis: Create and improve reports related to Operations management; analyze technical data sets to troubleshoot or explain perceived issues; use SQL, UNIX shell and other tools to gather and analyze data. Capacity Planning: Drive capacity planning decisions for Cboe Exchanges, especially within the European region; support capacity planning needs of various business units; participate in capacity planning meetings. Automation & Process Improvement: Identify and lead task automation opportunities; develop, test and maintain Python tools; leverage AI to maximize efficiency. On Call & Weekend Testing: Lead and participate in weekend testing (e.g., capacity testing, fail over); provide follow the sun on call technical support as part of the global Operations team. Qualifications Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Business, Financial Services, Communications, or a related discipline (Master's preferred). Experience & Technical Skills: Deep subject matter expertise in one or more of the following areas: Technical Operations; UNIX Shell; Software Engineering or Systems, Network, or Database Administration; SQL; Python, C++, or other programming language; Leadership or Senior Role; Networking (TCP/IP and Multicast) and NIC Configuration. Communication & Language Skills: Fluency in English - both written and spoken - is required; clear, precise and unambiguous communication across time zones, cultures and technical disciplines. Global Markets Awareness: Familiarity with European markets and US equities, options, and/or futures market structures is strongly preferred; situational awareness across multiple market sessions and regulatory environments. Benefits & Perks Competitive total rewards package including private healthcare coverage, pension contributions, professional development opportunities, and access to global employee resource groups and internal mobility programs. Equal Opportunity Employer Cboe Global Markets is an Equal Opportunity Employer.
