9 jobs found

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. In this role, you will be directly responsible for leading the technical design, development, and optimization of our regulatory reporting framework and data pipelines, with a strong focus on onboarding new regulations. This is an active engineering leadership position where you will guide a team of developers, write clean, production-grade code, design system components, and troubleshoot complex data processing issues. You will work closely within an Agile team, collaborating with business analysts and other engineers to translate regulatory requirements into reliable, scalable software solutions. Lead and Mentor:Guide and support a team of software engineers, fostering a collaborative environment, conducting code reviews, and promoting technical excellence. Regulatory Onboarding:Drive the technical execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards. AI & Automation Integration:Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines. Hands-On Development:Write clean, robust, and testable code using Java and Spring Boot, setting a high standard of engineering quality for the team. Component Design:Design scalable application components, microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing:Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming:Build and maintain real-time data ingestion and streaming pipelines using Apache Kafka. Database Management:Design and optimize data models in MongoDB and relational databases, ensuring high performance for complex queries and data storage. Agile Execution:Drive sprint planning, task estimation, and daily progress within an Agile/Scrum framework to ensure timely delivery of project milestones. Requirement Translation:Partner closely with Business Analysts and Compliance teams to translate complex regulatory rules into precise technical specifications. Technical Liaison:Act as the primary technical point of contact for your team, communicating progress, technical risks, and solutions to technology management. Quality Assurance:Establish best practices for automated testing (unit, integration, and regression tests) and ensure secure coding standards are met. Qualifications & Skills Required Technical Experience: Professional Experience:Significant experienceof hands-on software engineering experience in enterprise-scale environments, with a proven track record of delivering robust, high-performance applications. Java/J2EE Expertise:Deep, authoritative knowledge of theJ2EE platformand Core Java (Java 8 and above), including advanced concepts such as multi-threading, concurrency, memory management, JVM profiling, and performance tuning. Spring Ecosystem:Extensive experience building microservices and RESTful APIs usingSpring Boot, Spring Cloud, Spring Data, and Spring Security. Big Data Technologies:Strong, hands-on experience with distributed computing frameworks, specificallyApache Spark,Hadoop, andHive. Proven ability to write and optimize complex Spark jobs. Real-Time Streaming:Practical experience designing and implementing event-driven systems usingApache Kafka, including topic configuration, producer/consumer APIs, and stream processing. Database Concepts:Exceptional understanding of database concepts. Strong proficiency in SQL, database design, indexing strategies, and query optimization. Hands-on experience with NoSQL databases, specificallyMongoDB, is highly required. Modern Tooling:Proficiency with Git/Bitbucket, Maven/Gradle, Jenkins, Docker, and Kubernetes. Required Professional & Process Skills: Agile Mindset:Strong experience working in fast-paced Agile/Scrum environments, with a deep understanding of sprint ceremonies and agile metrics. Software Lifecycle Mastery:Comprehensive knowledge of modern SDLC practices, secure coding standards (OWASP), and test-driven development (TDD) using JUnit and Mockito. Problem Solving:Analytical thinker with a relentless focus on troubleshooting, root-cause analysis, and resolving complex system issues under tight deadlines. Communication:Superb written and verbal communication skills, with the ability to document technical designs clearly and present ideas persuasively. Preferred Qualifications: Financial Domain Knowledge:Prior experience in the financial services industry, with a strong preference for candidates who understandRegulatory Reporting(e.g., Basel III/IV, CCAR, MiFID, Dodd-Frank, or local transaction reporting), Risk Management, or Capital Markets. Cloud Awareness:Familiarity with cloud-native development and deploying applications on cloud platforms (AWS, GCP, or Azure). Education:Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. AI is a key investment area for Kraken Technologies as we look to expand our existing capabilities. A crucial part of this is broadening the foundational infrastructure to enable teams across the organisation to use AI effectively to accelerate our mission. You'll work in the Agent Safety/Evals team, a new sub-team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery-focused team that sits at the intersection of engineering and delivery, focusing on empowering our internal users. The Role We're hiring a Lead Software Engineer to head our newly formed Agent Safety/Evals team. As AI agents take on more autonomous tasks across Kraken's internal workflows, this role is critical to ensuring they do so securely and predictably. This is a leadership role focused on constraining our internally facing AI agents to an expected operation space and guaranteeing system reliability. You will define the technical strategy for how we evaluate models, enforce safety guardrails, and govern AI behavior across internal platforms, skills, and harnesses. You'll work closely with the broader AI Foundations team and engineers across Kraken to ensure that our push for rapid AI adoption in internal tooling never compromises on security, determinism, or quality. What you'll own Lead the technical direction for internal agent safety: Design and implement systems focused on the reliability, security, and determinism of LLMs and autonomous agents, constraining them strictly to expected operational spaces within our internal ecosystems. Build robust evaluation frameworks: Develop scalable harnesses and evals tailored to internal workflows and skills. You will be responsible for asking the right types of questions about the quality and reproducibility of our evals, while engineering the systems to measure them robustly. Implement guardrails and governance: Create and enforce pre- and post-generation guardrails, managing the overarching governance of AI models operating within internal tools and platforms. Drive AI security and observability: Build out dedicated auth/permissions for internal AI agents, establish deep monitoring/observability pipelines, and define incident response protocols for AI-specific anomalies. Verification and Red Teaming: Lead continuous verification efforts and red teaming exercises to proactively identify vulnerabilities, prompt injections, or unpredictable behaviours in our internal AI implementations. Operate in AWS: Deploy, run, and support high-throughput, low-latency safety services for internal use cases; make sensible architecture/cost tradeoffs; partner effectively with platform/techops/security stakeholders. What you bring to the party Strong technical leadership: Proven experience leading technical initiatives or teams, capable of setting the technical vision for complex, ambiguous domains. Deep software engineering fundamentals: Senior/advanced capability in designing secure components end-to-end, testing thoroughly, and reasoning heavily about system design, concurrency, and architecture tradeoffs. (Python preferred). Expertise in AI Evaluation and Safety: A highly critical thinker who understands the nuances of LLM behavior. You must be comfortable interrogating the quality of AI outputs and deeply experienced in building harnesses to measure it reproducibly. Security and Governance mindset: Experience with threat modeling, authentication, red teaming, or building guardrails for internal systems, tooling, or platforms. Cloud experience (AWS): Comfortable running internal services, owning reliability/scalability, and collaborating with platform/techops/security partners. Excellent communication: Able to synthesize complex safety and eval metrics into actionable insights for both technical and non-technical stakeholders. What Success Looks Like Confidence in Internal Tooling: Engineers across Kraken can deploy new autonomous models, AI skills, and internal agents with total confidence, knowing they are bound by reliable safety guardrails and strict operational constraints within our internal ecosystems. High-Quality Internal Evals: You have established a culture and infrastructure of robust, highly reproducible evaluation metrics that accurately reflect the real-world performance and safety of our internal-facing AI tooling and harnesses. Resilient Internal Infrastructure: AI security, monitoring and incident response are treated as first-class citizens, ensuring that any erratic agent behavior in our internal platforms is immediately caught and mitigated before it affects broader operations. Technical Leadership: Strong collaboration across AI Foundations helps accelerate secure internal AI adoption; you are actively mentoring engineers and shaping the company's internal AI governance strategy. Bonus points Experience with specific LLM evaluation and safety frameworks (e.g., Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails). Django experience and strong backend engineering patterns (security, performance, maintainability). Experience with Datadog for complex observability, tracing, and monitoring in AI environments. Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain. Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at . We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Data Engineering - Databricks Architect Financial Services London/ Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation Data Management & Strategy - Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions Your key responsibilities Lead the design and implementation of scalable data architecture solutions using Databricks on Azure . Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance. Demonstrate prior experience in standing up and operationalizing Databricks platforms , including workspace setup, cluster configuration, and CI/CD integration. Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity. Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs Experience of building high performing teams and exceptional leadership and interpersonal skills Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going. Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk Ability to engage with senior stakeholders and manage large cross functional projects Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients. Previous consulting experience will be greatly valued A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What we look for We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Who we are EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do CoreWeave's Physical AI Engineering team builds and scales the core platform powering advanced engineering simulation and AI workflows. Our ambition is to become the super-intelligent AI test lab for the engineering industry, delivering the performant, reliable, and scalable foundation trusted by the world's largest engineering companies. About The Role The Staff Frontend Engineer will own and evolve the Physical AI platform's product surface: the data-heavy, workflow-centric web experience where engineers design experiments, compare runs, interact with agents, and convert complex test data into decisions. Operating at Staff-level scope (with openness to exceptional Senior Frontend Engineers ready to step into staff-level impact), you will own the frontend end-to-end-including component architecture, design system evolution, performance optimization, and production operations. In this role, you will collaborate closely with Design, Product, and Backend Engineering to design intuitive UIs for complex workflows, shape Python-backed API contracts, and integrate agentic capabilities safely. Additionally, you will drive frontend developer experience improvements, maintain high testing standards, and mentor engineers across the wider organisation. Who You Are 7+ years of professional software engineering experience, with a track record of building, maintaining, and architecting complex, data-heavy web applications at Senior or Staff scope. Advanced proficiency in React, TypeScript, and web fundamentals, with deep experience structuring large-scale frontends across modules, state management, routing, and data-fetching patterns. Proven background building visualization-centric UIs, dashboards, charts, time-series metrics, or experiment explorers for complex datasets. Hands-on experience integrating frontends with REST or GraphQL APIs, with a strong understanding of service-oriented architecture, data modeling, and Python web frameworks (e.g., FastAPI, Flask, Django). Practical experience with database data flows (e.g., PostgreSQL), cloud/container infrastructure (Docker, Kubernetes), and frontend observability tools (Sentry, Datadog, OpenTelemetry). Strong habits around testing frameworks (unit, integration, end-to-end), CI/CD pipelines, and frontend build tooling (Storybook, design systems, local dev ergonomics). Excellent communication, cross-functional collaboration, and mentoring skills in high-ambiguity environments. Preferred Experience building B2B SaaS UIs for technical audiences (e.g., ML engineers, data scientists, physical test engineers) or exposure to ML/AI workflows, experiment tracking, and agentic interfaces. Hands-on experience with GraphQL, typed API clients in React, or SSR/SSG performance-focused frameworks. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to craft intuitive, detail-oriented web experiences that make complex, data-heavy engineering workflows feel seamless and fast. You're curious about pushing the boundaries of Physical AI, agentic interfaces, and real-time experiment tracking platforms. You're an expert in architecting scalable React/TypeScript systems, driving frontend performance, and mentoring teams on engineering craft. Why CoreWeave? About Be Curious at Your Core Act Like an OwnerEmpower Employees Deliver Best-in-Class Client ExperiencesAchieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organisation's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation ("GDPR") and (ii) the GDPR as it forms part of the laws of the UK ("UK GDPR"), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. With respect to transfers originating from the UK or the European Economic Area "EEA" to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe's data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office. For additional information, please see our Privacy Policy.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do CoreWeave's Physical AI Platform Engineering team builds and scales the data and workflow backbone powering advanced engineering simulation and AI workflows. Our ambition is to become the super intelligent AI test lab for the engineering industry, delivering the performant, reliable, and trustworthy data foundation trusted by the world's largest engineering companies. About The Role As an MLOps Engineer on the Physical AI team, you will serve as the hands on owner for our machine learning operations surface across the end to end model lifecycle-from experimentation and training through to packaging, deployment, serving, and retirement. You will define and roll out MLOps practices, establish operational SLOs/SLAs, and build automated CI/CD and continuous training pipelines to accelerate the path from experiment to supported production deployment. In this role, you will implement comprehensive model observability, data versioning, and drift monitoring while ensuring robust security and governance controls. Additionally, you will partner closely with product, data science, and core infrastructure teams to optimize GPU compute utilization, resolve cross boundary platform incidents, and mentor engineers on production grade ML practices. Who You Are 5-6+ years of professional experience in MLOps, ML platform engineering, ML infrastructure, or SRE/DevOps for production machine learning systems. Proven experience building, operating, and automating production ML pipelines covering experiment tracking, model registries, artifact versioning, dataset management, and deployment workflows. Deep hands on experience implementing observability for ML systems, including monitoring inference availability, latency, throughput, GPU/resource utilization, and data or model drift. Strong background in reliability engineering, including defining operational SLOs, writing runbooks, building automated remediation, and managing incident response for ML workloads. Proficient in Python for platform tooling, infrastructure integration, and pipeline automation, alongside strong infrastructure as code and CI/CD practices. Comfortable operating containerised, cloud native environments using Kubernetes and public cloud platforms. Excellent technical communication and cross functional collaboration skills, with a track record of bridging data science and platform engineering teams. Preferred Experience as an early or founding MLOps engineer establishing ML platform architecture, standards, and operating models from the ground up. Hands on experience operating ML workloads on Kubernetes with GPU infrastructure, distributed training, or large scale inference engines. Experience with ML platforms handling test, simulation, or time series data (e.g., physical test benches, battery labs, automotive/aerospace R&D) within multi tenant SaaS environments. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams-even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to make the path from ML experiment to production reliable, reproducible, and effortless to operate. You're curious about mapping complex system interactions between data, models, and GPU infrastructure to design for rapid recovery. You're an expert in establishing MLOps best practices, automating model delivery pipelines, and mentoring data scientists on production readiness. Why CoreWeave? About At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organisation's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family level Medical Insurance Family level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Recruitment Agencies CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void. Any unsolicited CVs sent by your company to us - that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy - will be considered by us to be a "free gift", leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate's services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate's details also be submitted by any other party. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation ("GDPR") and (ii) the GDPR as it forms part of the laws of the UK ("UK GDPR"), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc click apply for full job details

Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses - and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast feedback, and scalable architecture, with real opportunities to deepen your technical influence and shape the future of financial technology. As a Software Engineer III at JPMorganChase within the Global Banking Technology team, you will own end-to-end delivery of secure, full stack features - turning requirements into solid designs, shipping clean Java code, and improving services built on microservices, Kafka/event-driven patterns, and CI/CD pipelines. You will troubleshoot complex production issues, drive performance and resiliency improvements, and automate recurring problems to strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilities Lead delivery of complex features and services by shaping solution options, driving design decisions, and implementing scalable software that addresses ambiguous, multi-dimensional problems Own end-to-end engineering outcomes across design, build, test, release, and operate phases - ensuring security, resiliency, performance, and maintainability in production Set a high bar for code quality by authoring secure production code, leading code reviews, and debugging complex cross-service issues while continuously improving engineering standards and hygiene Drive operational excellence by identifying systemic failure patterns, implementing automation (self-healing, alerting, runbooks), and delivering sustainable fixes that measurably improve stability and resiliency Influence architecture and platform alignment by contributing to service boundaries, API and event contracts, data flows, and non-functional requirements across teams within enterprise constraints Partner on technical evaluations with internal teams, producing outcomes-oriented assessments of architecture, delivery readiness, security posture, and fit with existing platforms and information architecture Mentor and elevate team capability through pairing, design reviews, knowledge sharing, and contributing to communities of practice that accelerate adoption of modern engineering practices Promote an inclusive engineering culture by supporting a team environment grounded in diversity, opportunity, inclusion, and respect Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience Demonstrated ownership of system design and delivery for production services, including testing strategy, release execution, and operational support Strong proficiency in Java and common frameworks such as Spring Boot, Hibernate, JPA, and Spring Kafka, including performance tuning and troubleshooting patterns Working knowledge of microservices and Kafka/event-driven architectures, including reliability patterns such as idempotency, retries, ordering, and dead-letter queues Experience implementing automation and continuous delivery, including build and test automation, CI/CD pipelines, and quality gates Proficiency across the full software development lifecycle - requirements, design, implementation, testing, release, and support - with clear documentation and traceability Strong understanding of Agile delivery, application resiliency, secure engineering practices, and operational readiness Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with additional languages and frameworks such as .NET (C#) and Python Familiarity with modern front-end technologies such as React and/or Angular Experience with container platforms and platform-as-a-service environments, including Kubernetes and Cloud Foundry Familiarity with Generative AI tools and patterns - including prompt engineering, retrieval augmented generation, and vector search/embeddings - and safe, secure adoption practices Familiarity with financial services technology environments and enterprise grade controls and standards Practical experience with cloud-native development, including containerization, observability, resiliency patterns, and incident response participation

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Technology organization, you will be a core technical contributor on an agile team delivering secure, stable, and scalable technology products that support critical business and client outcomes. You will contribute to system design and engineering execution across backend and distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Technology organization, you will be a core technical contributor on an agile team delivering secure, stable, and scalable technology products that support critical business and client outcomes. You will contribute to system design and engineering execution across backend and distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools. Join a team where your engineering contributions directly impact how we serve clients and drive innovation at scale. At JPMorganChase, you will have the opportunity to grow your career, build meaningful solutions, and collaborate with talented technologists who are passionate about delivering excellence. Job Responsibilities Design and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying sound engineering judgment to meet non-functional requirements including security, resiliency, and performance, and delivering iterative improvements for product teams Partner closely with product and UX to understand requirements, refine designs, and deliver intuitive, accessible, and consistent user experiences Contribute to end-to-end delivery of features across the software development lifecycle including requirements, design, coding, testing, deployment, and production support, with clear accountability for your outcomes Build secure, high-quality, production-ready UI using React, HTML, and CSS, leveraging reusable components, patterns, and libraries for consistency and speed Develop backend services and APIs integrating with relational databases and enterprise systems, applying sound data design and SQL practices, and contribute to architecture and design artifacts (e.g., technical designs, diagrams, architecture decision records) ensuring implementation aligns with design constraints and architecture standards Contribute to event-driven and streaming architectures using Kafka, including topic design, schema/contract strategy, and resilient producer/consumer patterns Support containerized service delivery and operational readiness using Kubernetes, and contribute to CI/CD pipelines and automation Build and support scheduled and background processing (e.g., scheduled jobs and batch processing such as Spring Batch) where applicable to platform capabilities Support operational stability and reliability by contributing to incident response and root cause analysis, analyzing diverse datasets, logs, and telemetry to identify patterns, build visualizations and reporting, and reduce repeat incidents via preventative controls, automation, and enhanced observability Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and proficient applied experience Hands-on experience in system design, application development, testing, and operational stability in a large corporate environment, including event-driven architectures and streaming patterns (Kafka) Proficiency in Java and building services with Spring Boot, and strong expertise in React with TypeScript to build robust, maintainable frontend applications; strong UI fundamentals with HTML/CSS and responsive design, including experience building reusable components and libraries Experience building and consuming APIs (REST and/or GraphQL) and integrating with downstream systems Strong experience with relational databases including Oracle and/or PostgreSQL, with solid SQL skills; experience with caching patterns and technologies (e.g., Redis) to improve performance and scalability Proficiency in software testing practices (unit, integration, and/or UI testing) to ensure quality and reliability, and active participation in code reviews and constructive feedback practices that promote continuous improvement Familiarity with the full software development lifecycle and agile practices, including CI/CD, and hands-on experience with CI/CD pipelines (e.g., Jenkins) and containerized deployment and operations using Kubernetes Experience building and supporting scheduled jobs and batch processing workloads (e.g., Spring Batch or equivalent patterns) Working knowledge of search/indexing concepts, including designing and querying Elasticsearch indexes Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred Qualifications, Capabilities, And Skills Working knowledge of Python for scripting, automation, or service development Experience with .NET, including building and supporting enterprise services and the ability to work across multiple technology stacks Knowledge of agentic frameworks such as Google ADK or LangChain Familiarity with monitoring, tracing, and troubleshooting tools such as log aggregation platforms, API testing tools, and observability dashboards 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 J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Corporate Investment Bank Markets Technology team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives Job responsibilities Design, develop, and implement cloud-based applications and services. Collaborate with architects and engineers to ensure design solutions are aligned with business goals. Optimize applications for performance, scalability, and security. Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experience in cloud development, with a focus on application design and development. Proficiency in programming languages such as Java, Python, or Node.js. Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working with event-drivenorserverless architectures. Experience with Git, CI/CD pipelines, automated testing frameworks and DevOps practices. Experience with monitoring and logging tools likeCloudWatch, Dynatrace, Datadog,Prometheus, Grafana, or ELK stack. Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle. Experience in Infrastructure as code (IAC) such as Terraform or equivalent Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Chain toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Preferred qualifications, capabilities, and skills Experience in automation in any scripting languages such as python/groovy etc. Exposure toweb-development frameworks e.g. React JS, Angular Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Data Science team is focused on developing an advanced reliability platform. This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes. We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance. About The Role As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform. This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization. You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability, separating real-time service from periodic processing, and dynamic resource management based on system load and data frequency. You will architect and deploy these scalable distributed services using orchestration technologies. Key Responsibilities Design and implement scalable data ingestion pipelines. Build feature processing and baseline computation systems. Productionize models for prediction and detection. Develop and operate low-latency service and robust offline workflows. Architect horizontally scalable services with clear separation between components, leveraging orchestration for distribution. Implement monitoring and feedback loops for continuous model and signal improvement. Collaborate with Platform teams to integrate operational signals into monitoring and diagnostics. Implement a scalable solution for mitigation and structured analysis. Who You Are 7+ years of experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments. Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores and ensuring offline/online feature parity. Hands on experience deploying ML models to production, including versioning, monitoring, rollback, and drift detection. Experience designing scalable microservices deployed in Kubernetes-based environments. Strong proficiency in Python and at least one systems language (Go, Rust, or C++). Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm). Familiarity with GPU telemetry systems such as NVML or DCGM and hardware level monitoring concepts. Demonstrated experience scaling systems from Proof of Concept to production grade, fleet level deployments. Preferred Experience working on GPU fleet management, hyperscale infrastructure, or AI training clusters. Experience building anomaly detection or failure prediction systems for hardware or distributed systems. Experience implementing distributed straggler detection or collective level performance analysis systems. Experience developing agentic or LLM powered reasoning systems for diagnostics or operational intelligence. Background in reliability engineering or SRE practices. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match.Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love building systems that turn raw infrastructure telemetry into actionable intelligence. You're curious about distributed systems failure modes, GPU performance pathologies, and reliability engineering at scale. You're excited by the idea of moving from anomaly detection to prediction to autonomous root cause reasoning. You enjoy designing platforms that protect uptime, revenue, and customer trust through proactive systems thinking. Why CoreWeave? About At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereof, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation ("GDPR") and (ii) the GDPR as it forms part of the laws of the UK ("UK GDPR"), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law . click apply for full job details