We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 28, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Jan 26, 2026
Full time
This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United Kingdom Overview We're building the future of cloud development with Codespaces: instant-on, container-based cloud environments tailored to specific projects, enabling developers to focus on writing code rather than managing setups. As a Software Engineer III on the Codespaces team, you'll design and implement a secure, reliable, and efficient platform that powers Codespaces, Actions and other GitHub tools. Your work will directly impact developers worldwide, ensuring these tools are always available, performant, cost-effective, and delightful to use. At GitHub, you'll collaborate with a distributed, diverse, and passionate team of engineers and designers, delivering services that millions of developers depend on daily. In this role, you'll design, prototype, implement, ship, and support highly performant, inspiring experiences that enhance collaboration and productivity for developers everywhere. We're looking for creative problem solvers and diverse thinkers who value culture as much as customers and features. We believe how we work is just as important as what we deliver. Big vision, shared purpose, passion for quality, curiosity, dedication, and investment in fun and collaboration are what drive great results. Great products reflect the teams that build them-come join us! Responsibilities Design, develop and ship high-quality technical solutions that scale across multiple GitHub services. Collaborate with cross-functional teams to define and implement innovative solutions. Provide technical leadership, mentorship, pairing opportunities, and code reviews to encourage the growth of others. Write architecture briefs and proposals, carry out code experiments, and build prototypes to learn how we can achieve planetary scale with our systems. Design and implement APIs to facilitate seamless integration between software components. Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery. Become intimately familiar with the systems you build and take pride in writing maintainable code. Own and advocate for the health and quality of the systems that the team builds, including participating in on-call rotations and responding to incidents as necessary. Qualifications Required Qualifications: 4+ years of experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Experience in cloud-native development, including designing, building, and deploying scalable applications using microservices architecture, containers (e.g., Docker), and orchestration tools like Kubernetes. Proficiency in leveraging cloud platforms (e.g., AWS, Azure, or GCP) for optimizing application performance and scalability. Experience with on-call rotations, incident response and site reliability, including diagnosing and resolving complex production issues under pressure. Experience automating operational work for hosted services Preferred Qualifications: Proficiency in modern programming languages such as C#, TypeScript, Go, and Rust. Excellent written and verbal communication via async collaboration, documentation, and visibility of work. Experience working with a remote, distributed team. Passionate about fostering effective Engineering practices and processes. Proficiency in Git and GitHub for version control and collaborative development and branching strategies. Experience with CI/CD Tools: Strong knowledge of CI/CD concepts and best practices. Experience with GitHub actions and workflows platform, familiar with other tools like Jenkins Experience implementing and maintaining compliance and security practices in software development, including secure coding, vulnerability management, data privacy, and regulatory standards Proficiency in designing systems with robust security measures and ensuring adherence to organizational and industry compliance requirements. Contribute to open source software, engage with maintainers, and actively participate in community curation. GitHub values Customer-obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Who We Are GitHub is the world's leading AI-powered developer platform with 150 million developers and counting. We're also home to the biggest open-source community on earth (and 99% of the world's software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms. Join us, and let's change the world, together. Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Jan 26, 2026
Full time
About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United Kingdom Overview We're building the future of cloud development with Codespaces: instant-on, container-based cloud environments tailored to specific projects, enabling developers to focus on writing code rather than managing setups. As a Software Engineer III on the Codespaces team, you'll design and implement a secure, reliable, and efficient platform that powers Codespaces, Actions and other GitHub tools. Your work will directly impact developers worldwide, ensuring these tools are always available, performant, cost-effective, and delightful to use. At GitHub, you'll collaborate with a distributed, diverse, and passionate team of engineers and designers, delivering services that millions of developers depend on daily. In this role, you'll design, prototype, implement, ship, and support highly performant, inspiring experiences that enhance collaboration and productivity for developers everywhere. We're looking for creative problem solvers and diverse thinkers who value culture as much as customers and features. We believe how we work is just as important as what we deliver. Big vision, shared purpose, passion for quality, curiosity, dedication, and investment in fun and collaboration are what drive great results. Great products reflect the teams that build them-come join us! Responsibilities Design, develop and ship high-quality technical solutions that scale across multiple GitHub services. Collaborate with cross-functional teams to define and implement innovative solutions. Provide technical leadership, mentorship, pairing opportunities, and code reviews to encourage the growth of others. Write architecture briefs and proposals, carry out code experiments, and build prototypes to learn how we can achieve planetary scale with our systems. Design and implement APIs to facilitate seamless integration between software components. Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery. Become intimately familiar with the systems you build and take pride in writing maintainable code. Own and advocate for the health and quality of the systems that the team builds, including participating in on-call rotations and responding to incidents as necessary. Qualifications Required Qualifications: 4+ years of experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field OR equivalent experience. Experience in cloud-native development, including designing, building, and deploying scalable applications using microservices architecture, containers (e.g., Docker), and orchestration tools like Kubernetes. Proficiency in leveraging cloud platforms (e.g., AWS, Azure, or GCP) for optimizing application performance and scalability. Experience with on-call rotations, incident response and site reliability, including diagnosing and resolving complex production issues under pressure. Experience automating operational work for hosted services Preferred Qualifications: Proficiency in modern programming languages such as C#, TypeScript, Go, and Rust. Excellent written and verbal communication via async collaboration, documentation, and visibility of work. Experience working with a remote, distributed team. Passionate about fostering effective Engineering practices and processes. Proficiency in Git and GitHub for version control and collaborative development and branching strategies. Experience with CI/CD Tools: Strong knowledge of CI/CD concepts and best practices. Experience with GitHub actions and workflows platform, familiar with other tools like Jenkins Experience implementing and maintaining compliance and security practices in software development, including secure coding, vulnerability management, data privacy, and regulatory standards Proficiency in designing systems with robust security measures and ensuring adherence to organizational and industry compliance requirements. Contribute to open source software, engage with maintainers, and actively participate in community curation. GitHub values Customer-obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Who We Are GitHub is the world's leading AI-powered developer platform with 150 million developers and counting. We're also home to the biggest open-source community on earth (and 99% of the world's software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms. Join us, and let's change the world, together. Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. Join us as Senior DevOps Engineer (f/m/d)! What your day will look like Develop and maintain the engineering and cloud infrastructure and automation infrastructure such as CI/CD pipelines, IaC code, etc. Accompaniment and optimisation of software products from development to implementation and maintenance. Responsible for ensuring that the software platforms optimally support Thinkproject and its processes. Main responsibilities: Automation: Design and implement secure automated deployment processes; implement and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines using tools like Azure DevOps, Jenkins etc. to enhance software delivery speed and reliability. Participate in designing, building, and managing scalable cloud development using Infrastructure-as-Code (IaC) tools like Ansible, Terraform, etc. to provision and manage infrastructure resources. Problem Solving: Troubleshoot and resolve complex technical issues related to infrastructure, applications, and deployments. Documentation: Maintain comprehensive documentation of processes, configurations, and performance metrics to support knowledge sharing and compliance. Monitoring and Maintenance: Implement and maintain the monitoring, logging, and alerting systems to ensure high availability and reliability of systems, troubleshoot issues, and conduct diagnostic testing to maintain operational integrity. Collaboration: Work closely with software developers and other IT professionals to automate and streamline operations and processes. Contribute to knowledge sharing. Security: Implement automated security checks in pipelines, ensure compliance with security and regulatory requirements. Participate in periodic system audits and preparedness for possible recovery actions. Resolve issues related to pen testing, vulnerability scanning, and intrusion detection. Participate in completion of security team defined tasks and initiatives. What you need to fulfill the role Experience 6+ years of DevOps/SRE experience with 3+ years focused on Azure and Azure DevOps at scale. Proven track record owning the CI/CD + IaC platform for multiple development teams, enabling consistent, secure, and fast delivery. Experience designing and operating production grade releases (blue/green, canary, rollback), incident response, and post mortems. Experience with security and compliance frameworks (e.g., ISO 27001, SOC 2), change management, and audit readiness. Technical Skills Azure-first: VNets (hub-spoke, peering, Private Link), App Gateway/Front Door, Key Vault, ACR, App Service/Functions, AKS, Log Analytics/App Insights, Entra ID (AAD) & RBAC. Azure DevOps (YAML) CI/CD: multi stage pipelines, reusable templates, environments/approvals, PR validation & gated checks, artifact/versioning, automated rollback. IaC with Terraform: module design & versioning, remote state (Azure Storage) with locking, workspaces, pipeline driven plan/apply, secrets via Key Vault. Containers/Kubernetes: Docker, Helm, image promotion across environments, SBOM/signing basics. Quality & Security in pipeline: SonarQube, Black Duck/SCA; least privilege service connections; Defender for Cloud/Policy. Observability & Reliability: New Relic / DataDog, Azure Monitor & App Insights, alerting/SLOs, performance/capacity tuning, RCA practices. Scripting & Tooling: PowerShell, Bash (plus one of Python/Go); strong Git workflows/branching; Agile ways of working. Ability to design and implement CI/CD pipelines for applications in .NET, Java, Python, and more. Hands on skills with CI/CD tools like Azure DevOps / Jenkins etc. Good understanding of containerization (Docker) and orchestration (Kubernetes). Experience with GCP will be an added advantage. Ability to participate in scrum ceremonies, accurately maintain the task board and follow the applicable agile processes. Soft skills Ownership mindset; platform/product thinking with clear SLAs and standards. Excellent problem solving and structured debugging across app, infra, and pipeline layers. Strong communication and stakeholder management across Product, Security, and Engineering; ability to collaborate across diverse, distributed teams. Mentorship and knowledge sharing (playbooks, runbooks, brown bags); drive continuous improvement using metrics (e.g., DORA, MTTR). Education. Required: Microsoft AZ 400 Certification. Bachelor's degree in Software Engineering, Computer Science, Information Technology, or a related field. A Master's degree is preferred. What we offer Lunch 'n' Learn Sessions Women's Network LGBTQIA+ Network Coffee Chat Roulette Free English Lessons Thinkproject Academy Social Events Volunteering Activities Open Forum with Leadership Team (Tp Café) Hybrid working Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at - think career. think ahead.
Jan 20, 2026
Full time
Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. Join us as Senior DevOps Engineer (f/m/d)! What your day will look like Develop and maintain the engineering and cloud infrastructure and automation infrastructure such as CI/CD pipelines, IaC code, etc. Accompaniment and optimisation of software products from development to implementation and maintenance. Responsible for ensuring that the software platforms optimally support Thinkproject and its processes. Main responsibilities: Automation: Design and implement secure automated deployment processes; implement and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines using tools like Azure DevOps, Jenkins etc. to enhance software delivery speed and reliability. Participate in designing, building, and managing scalable cloud development using Infrastructure-as-Code (IaC) tools like Ansible, Terraform, etc. to provision and manage infrastructure resources. Problem Solving: Troubleshoot and resolve complex technical issues related to infrastructure, applications, and deployments. Documentation: Maintain comprehensive documentation of processes, configurations, and performance metrics to support knowledge sharing and compliance. Monitoring and Maintenance: Implement and maintain the monitoring, logging, and alerting systems to ensure high availability and reliability of systems, troubleshoot issues, and conduct diagnostic testing to maintain operational integrity. Collaboration: Work closely with software developers and other IT professionals to automate and streamline operations and processes. Contribute to knowledge sharing. Security: Implement automated security checks in pipelines, ensure compliance with security and regulatory requirements. Participate in periodic system audits and preparedness for possible recovery actions. Resolve issues related to pen testing, vulnerability scanning, and intrusion detection. Participate in completion of security team defined tasks and initiatives. What you need to fulfill the role Experience 6+ years of DevOps/SRE experience with 3+ years focused on Azure and Azure DevOps at scale. Proven track record owning the CI/CD + IaC platform for multiple development teams, enabling consistent, secure, and fast delivery. Experience designing and operating production grade releases (blue/green, canary, rollback), incident response, and post mortems. Experience with security and compliance frameworks (e.g., ISO 27001, SOC 2), change management, and audit readiness. Technical Skills Azure-first: VNets (hub-spoke, peering, Private Link), App Gateway/Front Door, Key Vault, ACR, App Service/Functions, AKS, Log Analytics/App Insights, Entra ID (AAD) & RBAC. Azure DevOps (YAML) CI/CD: multi stage pipelines, reusable templates, environments/approvals, PR validation & gated checks, artifact/versioning, automated rollback. IaC with Terraform: module design & versioning, remote state (Azure Storage) with locking, workspaces, pipeline driven plan/apply, secrets via Key Vault. Containers/Kubernetes: Docker, Helm, image promotion across environments, SBOM/signing basics. Quality & Security in pipeline: SonarQube, Black Duck/SCA; least privilege service connections; Defender for Cloud/Policy. Observability & Reliability: New Relic / DataDog, Azure Monitor & App Insights, alerting/SLOs, performance/capacity tuning, RCA practices. Scripting & Tooling: PowerShell, Bash (plus one of Python/Go); strong Git workflows/branching; Agile ways of working. Ability to design and implement CI/CD pipelines for applications in .NET, Java, Python, and more. Hands on skills with CI/CD tools like Azure DevOps / Jenkins etc. Good understanding of containerization (Docker) and orchestration (Kubernetes). Experience with GCP will be an added advantage. Ability to participate in scrum ceremonies, accurately maintain the task board and follow the applicable agile processes. Soft skills Ownership mindset; platform/product thinking with clear SLAs and standards. Excellent problem solving and structured debugging across app, infra, and pipeline layers. Strong communication and stakeholder management across Product, Security, and Engineering; ability to collaborate across diverse, distributed teams. Mentorship and knowledge sharing (playbooks, runbooks, brown bags); drive continuous improvement using metrics (e.g., DORA, MTTR). Education. Required: Microsoft AZ 400 Certification. Bachelor's degree in Software Engineering, Computer Science, Information Technology, or a related field. A Master's degree is preferred. What we offer Lunch 'n' Learn Sessions Women's Network LGBTQIA+ Network Coffee Chat Roulette Free English Lessons Thinkproject Academy Social Events Volunteering Activities Open Forum with Leadership Team (Tp Café) Hybrid working Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at - think career. think ahead.
As a Software Engineer at Fanatics Betting & Gaming (FBG), you'll be responsible for powering the rapidly growing Fanatics Sportsbook and Casino App. In your role you'll be recognized as a key member of the engineering team, combining strategic thinking with hands on execution. You'll lead ambitious projects, setting the standard for your team through innovative solutions. Your bold decisions will strike the right balance between addressing immediate business needs and ensuring long term technical excellence. Through your work, you'll foster a culture of excellence and innovation, leaving a lasting impact on both your immediate team and the broader development community. In this role you will lead the design and scaling of our distributed systems. This role is ideal for someone who thrives at the intersection of hands on coding, architecture, and technical leadership, and who can influence engineering direction while mentoring others. This is a remote role based in England. Responsibilities You will work closely with our internal and external development teams to deliver a stable and reliable application inline with our product roadmap and schedule. You will evaluate new technologies and open sources to recommend improvements for applications, services and systems. Cultural and technical champion: Improves and champions our best practices and strives to make Fanatics a better place to work as an engineer Build highly scalable and fault tolerant systems in a highly regulated production environment. Continuously improve our platform by embracing best practices in software engineering. Understand business outcomes and drive technical solutions to help achieve our goals. Develop a fundamental understanding of our product, feature set and roadmap, and work closely with the product to make the right technology decisions to enable the team for streamlined growth and future development. Partnering with cross functional peers (PM, Design, DevOps, Security, Front end engineers) Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications We value aptitude over experience but here are some key skills that will make you successful on this team: 2-10 years of development experience building & deploying scalable, high performance applications (Java strongly preferred) Experience with Spring Boot Microservices framework, and JPA is strongly preferred Familiar with web related technologies (e.g. HTTP, REST, TCP / IP). Familiar with version control tools (e.g. Git, SVN). Familiar with UML, OOP, and design patterns. Familiar with AWS services and/or GCP. Proficiency with distributed caching and message oriented middleware (e.g., Kafka). Experience with Docker and Kubernetes. Experience running experiments, A/B testing and optimizing for business outcomes. Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, executives, non technical functional leaders). Ability to triage and quickly debug system wide and customer impacting production issues. Excellent analytical and problem solving skills. Familiarity with highly available distributed systems, event driven architecture, and complex 3rd party integrations. Passion for software development and system architecture and sharing knowledge within a highly collaborative team. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! The expected salary range for this role is based on job related knowledge, skills, and experience. This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. Actual salary will vary based on location. Salary Range: £40,000 - £85,000 per year (actual salary will be determined in part by a successful candidate's geographic location). About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Job Info Posting Date 01/12/2026, 02:57 AM Locations Leeds United Superstore, Leeds, LS11 0ES, GB
Jan 15, 2026
Full time
As a Software Engineer at Fanatics Betting & Gaming (FBG), you'll be responsible for powering the rapidly growing Fanatics Sportsbook and Casino App. In your role you'll be recognized as a key member of the engineering team, combining strategic thinking with hands on execution. You'll lead ambitious projects, setting the standard for your team through innovative solutions. Your bold decisions will strike the right balance between addressing immediate business needs and ensuring long term technical excellence. Through your work, you'll foster a culture of excellence and innovation, leaving a lasting impact on both your immediate team and the broader development community. In this role you will lead the design and scaling of our distributed systems. This role is ideal for someone who thrives at the intersection of hands on coding, architecture, and technical leadership, and who can influence engineering direction while mentoring others. This is a remote role based in England. Responsibilities You will work closely with our internal and external development teams to deliver a stable and reliable application inline with our product roadmap and schedule. You will evaluate new technologies and open sources to recommend improvements for applications, services and systems. Cultural and technical champion: Improves and champions our best practices and strives to make Fanatics a better place to work as an engineer Build highly scalable and fault tolerant systems in a highly regulated production environment. Continuously improve our platform by embracing best practices in software engineering. Understand business outcomes and drive technical solutions to help achieve our goals. Develop a fundamental understanding of our product, feature set and roadmap, and work closely with the product to make the right technology decisions to enable the team for streamlined growth and future development. Partnering with cross functional peers (PM, Design, DevOps, Security, Front end engineers) Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications We value aptitude over experience but here are some key skills that will make you successful on this team: 2-10 years of development experience building & deploying scalable, high performance applications (Java strongly preferred) Experience with Spring Boot Microservices framework, and JPA is strongly preferred Familiar with web related technologies (e.g. HTTP, REST, TCP / IP). Familiar with version control tools (e.g. Git, SVN). Familiar with UML, OOP, and design patterns. Familiar with AWS services and/or GCP. Proficiency with distributed caching and message oriented middleware (e.g., Kafka). Experience with Docker and Kubernetes. Experience running experiments, A/B testing and optimizing for business outcomes. Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, executives, non technical functional leaders). Ability to triage and quickly debug system wide and customer impacting production issues. Excellent analytical and problem solving skills. Familiarity with highly available distributed systems, event driven architecture, and complex 3rd party integrations. Passion for software development and system architecture and sharing knowledge within a highly collaborative team. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! The expected salary range for this role is based on job related knowledge, skills, and experience. This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. Actual salary will vary based on location. Salary Range: £40,000 - £85,000 per year (actual salary will be determined in part by a successful candidate's geographic location). About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Job Info Posting Date 01/12/2026, 02:57 AM Locations Leeds United Superstore, Leeds, LS11 0ES, GB
The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose built procurement platform that provides a simple, consumer grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend. We have a world class team coming from category defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Your Role As a Senior Technical Support Engineer (TSE) on the Customer team, you play a mission critical role in ensuring our customers receive fast, accurate, and technically excellent support. You serve as the highest internal technical escalation point, combining deep product mastery with a strong ability to diagnose complex issues across integrations, workflows, and customer environments. You are the connective tissue between Support, Product, and Engineering, ensuring issues are surfaced with clear repro steps, impact assessments, and prioritization signals. You lead with operational rigor-improving processes, eliminating inefficiencies, and strengthening the pathways from customer reported issues to engineering resolution. In this role, you'll become an expert across Zip's rapidly expanding ecosystem-Procurement, Intake, Approvals, Suppliers, ERP and SSO integrations, and our broader workflow engine-while directly supporting marquee customers including Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks. Your impact will scale as Zip grows: every improvement you introduce strengthens the technical foundation of our entire Customer organization. You will Technical Escalation & Issue Resolution Serve as the final technical escalation point for Support, unblocking TSEs, CSMs, and onboarding teams with expert level troubleshooting. Triage and validate bugs, perform deep dive investigations, reproduce issues, and determine ownership before routing to Engineering with complete context. Partner directly with Engineering to master Zip's architecture, including workflow nodes, task engines, integrations, and API layers. Operational Excellence & Process Ownership Identify, build, and maintain scalable escalation pathways from Customer Product Engineering. Strengthen internal triage processes by closing knowledge gaps, improving documentation, and optimizing tooling and workflows. Develop clear standards for debugging, ticket handoffs, reproduction steps, and prioritization signals to improve Engineering alignment and SLA predictability. Customer Advocacy & Cross Functional Partnership Collaborate with Product as the voice of the customer, influencing roadmap decisions through patterns surfaced in escalations. Work directly with customers when highly technical or urgent issues require senior level expertise. Support Sales, CSM, Onboarding, and TAM functions as a subject matter expert across procurement workflows, integrations, and system configurations. Data & Tooling Use internal tools, logs, and observability platforms (e.g., DataDog) to analyze customer configurations, trace failures, and understand system behavior. Validate integration flows using REST/GraphQL payloads, webhooks, APIs, and third party systems. Drive improvements by identifying systemic issues from recurring case patterns. Qualifications 5-6 years in a technical, customer facing role, with at least 2 years serving as an escalation point or senior technical leader within Support. Proven experience partnering directly with Engineering teams as the conduit between customer facing teams and R&D. Demonstrated success supporting enterprise scale customers across multiple industries. Track record of owning complex problems end to end, especially in high pressure scenarios or SLA sensitive engagements. Core Skills Exceptional written and verbal communication, with the ability to simplify complex technical concepts for non technical stakeholders. Strong prioritization, time management, and operational discipline across multiple active issues. Fast learner with the ability to quickly master complex architectures, workflows, and integrations. Technical Skills Advanced debugging skills with REST APIs, GraphQL, OAuth flows, SSO (Okta, Azure AD), webhooks, and integration payloads. Experience with iPaaS tools, custom integration development, and working across ERP systems such as NetSuite, Oracle, or SAP. Familiarity with SCIM, identity provisioning flows, and access control models. Strong understanding of OOD principles and experience with SQL (MySQL, PostgreSQL). Fluent in interpreting JSON, XML, CSV, and Excel based datasets. Competency with bash/shell, code editors, and common debugging utilities. Ability to read and interpret exception stack traces and logs. Exposure to cloud platforms (AWS, Azure, or GCP) and, ideally, containerized/microservice architectures (Docker, Kubernetes). Experience with Ruby, Python, JavaScript, or similar languages is a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Full health, vision & dental coverage Commuter benefit Team building events & happy hours Flexible PTO Apple equipment plus home office budget We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
Jan 14, 2026
Full time
The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose built procurement platform that provides a simple, consumer grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend. We have a world class team coming from category defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Your Role As a Senior Technical Support Engineer (TSE) on the Customer team, you play a mission critical role in ensuring our customers receive fast, accurate, and technically excellent support. You serve as the highest internal technical escalation point, combining deep product mastery with a strong ability to diagnose complex issues across integrations, workflows, and customer environments. You are the connective tissue between Support, Product, and Engineering, ensuring issues are surfaced with clear repro steps, impact assessments, and prioritization signals. You lead with operational rigor-improving processes, eliminating inefficiencies, and strengthening the pathways from customer reported issues to engineering resolution. In this role, you'll become an expert across Zip's rapidly expanding ecosystem-Procurement, Intake, Approvals, Suppliers, ERP and SSO integrations, and our broader workflow engine-while directly supporting marquee customers including Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks. Your impact will scale as Zip grows: every improvement you introduce strengthens the technical foundation of our entire Customer organization. You will Technical Escalation & Issue Resolution Serve as the final technical escalation point for Support, unblocking TSEs, CSMs, and onboarding teams with expert level troubleshooting. Triage and validate bugs, perform deep dive investigations, reproduce issues, and determine ownership before routing to Engineering with complete context. Partner directly with Engineering to master Zip's architecture, including workflow nodes, task engines, integrations, and API layers. Operational Excellence & Process Ownership Identify, build, and maintain scalable escalation pathways from Customer Product Engineering. Strengthen internal triage processes by closing knowledge gaps, improving documentation, and optimizing tooling and workflows. Develop clear standards for debugging, ticket handoffs, reproduction steps, and prioritization signals to improve Engineering alignment and SLA predictability. Customer Advocacy & Cross Functional Partnership Collaborate with Product as the voice of the customer, influencing roadmap decisions through patterns surfaced in escalations. Work directly with customers when highly technical or urgent issues require senior level expertise. Support Sales, CSM, Onboarding, and TAM functions as a subject matter expert across procurement workflows, integrations, and system configurations. Data & Tooling Use internal tools, logs, and observability platforms (e.g., DataDog) to analyze customer configurations, trace failures, and understand system behavior. Validate integration flows using REST/GraphQL payloads, webhooks, APIs, and third party systems. Drive improvements by identifying systemic issues from recurring case patterns. Qualifications 5-6 years in a technical, customer facing role, with at least 2 years serving as an escalation point or senior technical leader within Support. Proven experience partnering directly with Engineering teams as the conduit between customer facing teams and R&D. Demonstrated success supporting enterprise scale customers across multiple industries. Track record of owning complex problems end to end, especially in high pressure scenarios or SLA sensitive engagements. Core Skills Exceptional written and verbal communication, with the ability to simplify complex technical concepts for non technical stakeholders. Strong prioritization, time management, and operational discipline across multiple active issues. Fast learner with the ability to quickly master complex architectures, workflows, and integrations. Technical Skills Advanced debugging skills with REST APIs, GraphQL, OAuth flows, SSO (Okta, Azure AD), webhooks, and integration payloads. Experience with iPaaS tools, custom integration development, and working across ERP systems such as NetSuite, Oracle, or SAP. Familiarity with SCIM, identity provisioning flows, and access control models. Strong understanding of OOD principles and experience with SQL (MySQL, PostgreSQL). Fluent in interpreting JSON, XML, CSV, and Excel based datasets. Competency with bash/shell, code editors, and common debugging utilities. Ability to read and interpret exception stack traces and logs. Exposure to cloud platforms (AWS, Azure, or GCP) and, ideally, containerized/microservice architectures (Docker, Kubernetes). Experience with Ruby, Python, JavaScript, or similar languages is a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Full health, vision & dental coverage Commuter benefit Team building events & happy hours Flexible PTO Apple equipment plus home office budget We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.
Jan 09, 2026
Full time
At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.
