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REQ ID: FEQ327R160 Location:London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The Subscriptions mission helps people discover the right Spotify experience for them and supports the entire journey from free to paid. Our teams build products and services that make it easier for listeners around the world to understand the value of Spotify Premium while enabling sustainable growth for the business. The Markets & Subscriptions team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. We are looking for a Senior Backend Engineer to join our cross functional team of data scientists and mobile, web, and backend engineers to build the services that power Spotify's free-to-paid experiences. What You'll Do Collaborate with a cross-functional engineering team to build and evolve Spotify's subscription conversion experiences. Design and develop scalable backend services and APIs using Java, gRPC, and GCP. Partner with teams across the Subscriptions mission to support new products, plans, and global launches. Build resilient backend systems that support millions of users across web and mobile. Work closely with product managers and engineers to deliver technical solutions that solve meaningful customer and business problems. Lead technical initiatives while mentoring teammates and raising engineering quality across the team. Champion engineering best practices, operational excellence, and continuous improvement. Who You Are You thrive in collaborative environments and enjoy solving complex technical problems with others. You have 5+ years of experience building backend systems at scale. You have experience with Java, gRPC, and Google Cloud Platform (GCP). You know how to design APIs and backend services consumed by multiple client platforms. You care about writing maintainable, high-quality, production-ready software. You have experience working with internal stakeholders to build reusable platforms and services. Experience with subscription, conversion, commerce, or merchandising systems is a plus. Where You'll Be This role is based in London, England or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

At the company's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. the company combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high-availability, multi-environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice-to-have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support

We are seeking a hands on high calibre architect for our Investment Technology platform who combines strategic thinking covering both business and technical architecture disciplines within a front office orientated global asset management technology environment. The Platform Architect is responsible for the end to end technical strategy, architecture, standards, and roadmap for one or more technology platforms. This leadership role demands deep knowledge of current and emerging platform technologies and end to end business flows covering Investment / front office capabilities. The Platform Architect ensures platforms are designed and evolved for consistency, scalability, convergence, and alignment to enterprise technology strategy-enabling business outcomes across all domains. About Schroders We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. The base We moved into our new HQ in the City of London in 2018. We're close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Asset Management Platform (AMP) is a global technology change and delivery organisation responsible for delivering the platforms that underpin Schroders' investment, client and operational capabilities. AMP brings together a set of business aligned technology platforms-including Client, Investment, Group Operations, Data and Finance-into a single, integrated asset management capability, enabling consistent, scalable and value driven outcomes across the firm. Operating within a platform centric model, teams are aligned to business outcomes while leveraging shared enterprise capabilities across architecture, data, engineering and delivery to drive standardisation, reuse, and speed of execution. The Platform The Investment Platform is a core domain within the Asset Management Platform, supporting the full front office lifecycle from research, quantitative analysis and investment solutions through to portfolio construction, order generation and trading. Operating as a business aligned, outcome driven platform, it brings together integrated teams, shared data and standardised engineering and delivery practices to enable scalable, high performance investment capabilities. As part of a broader, enterprise Asset Management Platform strategy, the Investment Platform plays a critical role in harnessing data and AI, simplifying the technology landscape, and delivering the tools and insights that underpin investment decision making across the organisation. What you'll do Platform Ownership: Own platform architecture, technical standards, and patterns-ensuring alignment to enterprise overall strategy. Technical Leadership: Provide hands on leadership and deep expertise in specific technology platforms (e.g., cloud, data, integration, security). Platform Roadmap: Develop, maintain, and communicate platform roadmaps aligned to business and technology objectives. Standardisation and Convergence: Drive platform standardisation and convergence across technology pillars and business domains. Continuous Improvement: Enable continuous evolution and improvement of the platform ecosystem, ensuring platforms remain secure, resilient, and performant. Cross Team Collaboration: Work closely with domain architects, business stakeholders, and the Enterprise Architecture team to ensure platforms meet current and emerging needs, align with enterprise direction, and support business strategy. Architectural Governance: Contribute to standards, principles, governance, and the architectural community at the platform level. Consultation: Provide technical input and guidance to business led projects and domain architects. The knowledge, experience and qualifications you need Proven experience as a Platform, Domain or Enterprise Architect within a complex, large scale technology environment, ideally within asset management or financial services Strong understanding of front office investment capabilities, including research, quant, portfolio construction, order generation and trading workflows Demonstrable experience defining and delivering platform strategies, target architectures, standards and roadmaps, with clear alignment to business outcomes Direct experience with Aladdin or equivalent front office investment platforms, with a strong understanding of how such platforms integrate across the investment lifecycle and wider technology estate Deep knowledge of modern architecture principles, including event driven architecture, API led integration, cloud native design and data centric platforms Experience operating within platform centric operating models, driving standardisation, reuse and convergence across multiple domains and teams Strong understanding of data platforms and data architecture, with experience leveraging data to enable advanced analytics and AI driven capabilities Proven ability to establish and enforce architecture governance, standards and assurance, working within enterprise guardrails and contributing to broader architecture communities Ability to translate complex business strategy and investment domain requirements into clear, scalable technology architecture and design decisions Hands on technical depth with the ability to engage credibly with engineering teams and influence solution design and delivery Experience working across multiple technologies, vendors and third party platforms, including managed services and strategic vendors Strong stakeholder management skills, with the ability to influence senior business and technology leaders across global teams Proven track record of leading architecture for large scale, business critical transformation programmes What you'll be like The successful candidate will be a strategic and outcome driven architect, able to connect business priorities with clear, scalable technology direction. They will combine strong vision with pragmatism-defining long term platform strategy while making practical decisions that enable delivery at pace. With deep technical credibility, they will engage confidently across architecture, engineering and delivery teams, shaping solutions that are robust, aligned to enterprise standards and focused on delivering tangible business value. They will operate as a collaborative and influential leader within a complex, global environment, driving alignment across business and technology stakeholders. A strong advocate of simplification, standardisation and reuse, they will actively reduce complexity and drive convergence across the platform. Clear in their communication and accountable in their approach, they will take ownership for the platform's evolution, contribute to the wider architecture community, and continuously apply emerging technologies-particularly data and AI-to enhance investment capabilities and outcomes. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought facilitated by an inclusive culture will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer: you are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio economic background or any other protected characteristics About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Job Info Job Identification 1597 Job Category Technology Posting Date 06/19/2026, 12:36 PM Job Schedule Full time Locations 1 London Wall Place, London, EC2Y 5AU, GB

Job Description We are hiring a Senior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI assisted development across the organization. This is not a traditional full stack role, and it is not a "prompt engineering" role. You will work at the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement. You will build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards. You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability. You Will Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle. Design and build internal tools, workflows, templates, integrations, and automation that make AI assisted development safer, faster, and more consistent. Create and maintain engineering standards, guidance, and reusable patterns for AI assisted software delivery. Help teams adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability. Work with engineers and stakeholders to understand real delivery pain points and translate them into practical enablement solutions. Build or integrate capabilities around AI assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval. Contribute to AI governance implementation by helping translate policy and security expectations into usable engineering workflows. Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks. Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment. Coach and support engineers through workshops, documentation, demos, and hands on enablement. Operate with high autonomy in a fast moving area where ambiguity is expected and practical ownership is essential. AI & Engineering Enablement Mindset Strong interest in how AI is changing software engineering, developer workflows, and engineering productivity. Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools. Ability to distinguish between AI experimentation and production grade engineering practices. Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards. Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout. Curious about areas such as AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement. The Impact You Will Have Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards. Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance. Improve developer experience by removing friction from common engineering tasks. Help establish measurable AI adoption practices across software engineering. Contribute to the next generation of AI enabled engineering capability within the Investor Services organization. Qualifications Required 8+ years of professional software engineering experience with strong ownership of complex systems, platforms, or engineering capabilities. Strong proficiency in TypeScript and modern JavaScript. Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns. Experience working across frontend and backend boundaries, including APIs, integrations, services, and data flows. Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness. Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements. Ability to work with multiple engineering teams, understand their delivery challenges, and create practical solutions that scale. Strong written communication skills, with the ability to create clear technical guidance, onboarding material, and adoption documentation. Ability to operate in ambiguity, structure unclear problems, and move from discovery to delivery. Security conscious engineering mindset, especially when introducing new tools, automation, or AI assisted workflows. Preferred Experience with AI assisted development tools in real software delivery, not only experimentation. Experience building internal platforms, developer tooling, engineering productivity tools, or paved road capabilities. Experience with Node.js, Python, or another backend language. Experience with cloud based systems, preferably AWS. Experience with observability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards. Experience in regulated or enterprise environments with strong governance, security, and release discipline. Experience with design systems, frontend platform standards, accessibility, and reusable UI patterns. Experience with knowledge retrieval, documentation systems, RAG style workflows, or internal engineering knowledge platforms. Experience designing lightweight evaluation approaches for AI generated outputs, automation, or agentic workflows. Experience coaching engineers, running workshops, or driving adoption of new engineering practices.

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people first. We value collaboration, curiosity and commitment. As a Senior Lead Software Engineer (Platform) at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. In this senior lead role, you set technical direction across squads, raise engineering standards, and mentor and grow other technical leaders. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls. Develops secure high quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices. Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services. Designs, builds, and operates Kubernetes based platform services; automates developer self service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy as code, and hardening standards. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Provides operational support and leadership for production systems in a "you build it you run it" culture, including incident response, post incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading edge technologies. Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, or equivalent experience. Hands on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments. Advanced in one or more programming language(s), such as Go, Java or Kotlin. Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. Preferred qualifications, capabilities, and skills Expertise in the Kubernetes operator pattern. Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent. Experience with GitOps workflows. ABOUT US J.P.Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Associate Director - Senior Technology Pre - Sales We are seeking a highly skilled and experienced Technology Pre - Sales consultant to join our Life Solutions team in EMEA, supporting the growth of the PathWise actuarial technology platform across the region. The successful candidate will play a key role in positioning, demonstrating, and shaping technology-enabled PathWise solutions for prospective and existing clients, with a focus on the technology platform, client IT integration and tooling transformation. This role is to be based out of our London Head Office. What the day will look like Serve as the technology subject matter expert in client pre sales engagements for PathWise across EMEA. Create the application architecture design, in conjunction with the client's technology and security teams to assist in the development of the client value proposition and business case for PathWise as the client's actuarial technology platform. Support sales in identifying and qualifying opportunities where PathWise technology can deliver clear business value to insurers and reinsurers. Lead discussions with clients to understand their technology strategy, objectives, existing platforms, architectures and constraints. Contribute technology content to proposals, RFP responses, client presentations and commercial negotiations. Complete regular client audit requirements for technology/security and regulatory compliance. Present PathWise capabilities, architecture and deployment approaches to technical and non technical stakeholders, including senior executives (e.g. Chief Actuary, CFO, CRO, CIO/CTO). Collaborate with internal product, technology, modelling and implementation teams to ensure proposed technology solutions are robust, feasible and aligned with the PathWise roadmap. Monitor market and technology developments in EMEA and translate them into relevant PathWise positioning and sales messages. Support thought leadership and market facing activities (e.g. conferences, webinars, client workshops) on actuarial platforms, cloud / high performance computing and IT topics. Skills and experience that will lead to success Bachelor's or Master's degree in a technical field such as Electrical/Computer Engineering or Computer Science. Proven ability to engage and build credibility with senior stakeholders across IT/technology functions and business functions (e.g. actuarial, risk and finance). Minimum eight years of relevant experience in technology platforms and their technology stack, with meaningful exposure to working in the financial services industry. Understanding of technology platforms including cloud based solutions, high performance computing concepts (e.g. grid, GPU or distributed computing), APIs, process and workflow automation, data management and architecture, SLAs, disaster recovery, technology deployments and IT governance. Excellent communication and presentation skills, able to explain complex technical and technology concepts in a clear, outcome focused way. Demonstrated experience working with or supporting sales / business development teams, including participation in pitches, RFPs or commercial discussions. Preferred Qualifications and Experience Experience with actuarial and projection platforms used in the life insurance market, and familiarity with typical actuarial modelling processes, controls and governance. Exposure to actuarial platform or model transformation/migration initiatives, including definition of target architectures and operating models. Multi language skills: English (spoken and written) and German, Spanish or Italian.

JOB DESCRIPTION We're looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Senior Principal Software Engineer at the company within Infrastructure Platforms - Cloud Foundation Services, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. Job responsibilities Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio Creates novel code solutions and drives the development of new production code capabilities across teams and functions Translates highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences across business, product, and technology teams and successfully manages senior stakeholder relationships Champions the firm's culture of diversity, opportunity, inclusion, and respect Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments Required qualifications, capabilities, and skills Proven software engineering experience Practical experience delivering system design, application development, testing, and operational stability Expert in one or more programming language(s): Java, Go, Python, Rust, etc. Demonstrated prior experience with influencing across functions and teams and delivering value at scale Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines Extensive practical cloud native experience Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies Preferred qualifications, capabilities, and skills Strong experience with cloud-native architecture, event-driven architecture, test-driven development Domain-level expertise in building continuous compliance systems at scale in financial services Expert-level understanding and experience with regulatory and industry standards relating to technology controls in financial services ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Fairygodboss is looking for a Senior Lead Software Engineer (Platform) to set technical direction across squads, ensuring the implementation of robust engineering standards and best practices. The role involves developing secure, high-quality code and designing Kubernetes-based platform services. Candidates should possess formal training in software engineering concepts, hands-on experience with system design, and proficiency in programming languages like Go, Java, or Kotlin. Join a diverse and inclusive team at Fairygodboss in Greater London, focused on innovative solutions in fintech.

Company the company, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, the company provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals. Role Overview the company is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands on engineering leadership role focused on designing and delivering scalable, cloud native, event driven platforms that enable data driven and intelligent solutions across the company' client facing business units. The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end to end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high performance platforms and user facing solutions that support critical front office workflows. This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice. Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event driven, real time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end to end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid level engineers, setting high technical standards through code reviews, design reviews, and hands on technical leadership. Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution. Support production systems, ensuring timely issue resolution, effective root cause analysis, and ongoing service improvement. Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud native, distributed, scalable, and resilient systems. Hands on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift. Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery. Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices. Experience deploying and operating production grade systems in cloud or hybrid cloud environments. Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions. Strong analytical and problem solving skills, with the ability to operate independently in a complex delivery environment. Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners. Preferred Skills Experience working on CRM, client intelligence, sales enablement, or front office data platforms. Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments. Candidate Profile The ideal candidate will be a hands on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high quality technology solutions in a fast paced environment. They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support the company' client facing businesses.

United States Digital Space LLC is seeking a Senior Principal Software Engineer to drive the development and enhancement of trusted technology products. This role requires proven software engineering experience, expertise in programming languages including Java and Python, and the ability to lead multi-organization adoption of innovative engineering frameworks. The ideal candidate will work across agile teams, providing engineering expertise to develop scalable solutions and champion a culture of diversity and inclusion.

Rocket Software, Inc. is looking for a Data Solution Architect to partner with sales in designing data-driven solutions that enhance customer success and revenue growth. The role requires 15+ years of experience in data architecture and engineering, with a focus on cloud platforms like AWS and Azure. The architect will guide customers through solution options, ensure optimization performance and align designs with best practices. This role emphasizes building relationships with key accounts and delivering impactful presentations to C-level executives, making it essential for the candidate to master Rocket's data portfolio and act as a trusted advisor.

Job Title: Senior Director, Artificial Intelligence (AI) and Data Strategy, TOSI Reporting to: VP Technical Operations, Science & Innovation Location: Macclesfield, UK Hybrid working model - 3 days per week onsite At AstraZeneca, science compels us to push the boundaries of what is possible to turn science into life changing medicines for patients who need them most. We deliver breakthrough science by creating thriving, vibrant and open science centres where our scientists are free to pursue their ideas and collaborate both with colleagues and our academic and industry partners. Introduction to role: Are you ready to harness AI and data to reshape how life changing medicines are sustained at scale? In this role, you will set the vision and lead the execution of a bold AI and digital strategy that connects development to large scale technical operations, accelerating productivity, compliance, and problem solving across the commercial product lifecycle. You will lead a small, high performing team of AI and digital experts to deliver measurable impact-reducing cycle times, improving first time right outcomes, and embedding sophisticated analytics into daily decision making. If you can bring senior leaders together behind a clear and compelling roadmap, implement solutions that deliver lasting value, and build the capabilities that embed transformation for the long term, we would be delighted to hear from you. Accountabilities Vision and Strategy: Define and own the AI, data, and digital strategy for on market technical functions, aligned to business objectives and patient impact. Value Realisation: Drive measurable productivity gains and cost efficiencies; set benefit targets and ensure solutions translate to outcomes in the business. Portfolio Leadership: Build and manage a balanced portfolio of initiatives that redefine day to day operations, from pilot to scale. Indicators and Governance: Establish metrics, tracking mechanisms, and governance to ensure benefits are realised and sustained. Solution Delivery and Adoption: Lead the development, delivery, implementation, and adoption of digital and AI solutions that enhance efficiency and innovation across teams. Platform Integration: Partner with platform owners to integrate ERP, MES, QMS, and content/regulatory systems into end to end digital solutions. Data Architecture and Compliance: Shape robust data architectures and governance that enable AI at scale in regulated environments. Investment and Stakeholder Alignment: Create compelling business cases, align senior leaders, secure funding, and track the value delivered. Workforce Capability Uplift: Build a strategic capability programme that raises digital fluency and prepares the organisation for the future. Team Leadership: Lead and mentor a small team of AI/digital experts; foster a culture of innovation, delivery, and continuous improvement. Portfolio and Resource Management: Manage budgets, resources, and multi functional collaborations to meet commitments and influence outcomes. Safety, Quality and Standards: Champion SHE and cGMP principles while advancing digital transformation. Essential Skills/Experience Master's degree or equivalent experience or higher in a relevant science or engineering field. Technical expertise, including knowledge in the language of AI, data engineering, e.g., Python, R, cloud platforms (AWS/GCP). Solid understanding of data architecture, data governance, and AI deployment at scale in regulated environments. Experience working with enterprise platforms (e.g., ERP, MES, QMS, content/regulatory systems) and integrating them into digital solutions. Strong CMC knowledge with experience in Pharmaceutical Product Development and Manufacture, along with extensive knowledge of CMC processes across all product stages. Strategic leadership with a proven track record of developing, leading and delivering multi functional digital strategies and transformative programmes within a pharmaceutical CMC context. An innovative outlook that employs a digital first approach to streamline processes, enhance compliance, and foster efficiency. Outstanding business insight, proficiency in developing a strong argument for projects, organisational skills and lean tool deployment. Managing transitions and agility with ability to drive digital transformation and adapt strategy based on internal constraints or evolving tech/regulatory landscapes. Experienced in managing collaborators, good communication skills, capable of leading and collaborating effectively at senior levels. Ability to build consensus and navigate conflicts. A problem solving approach that delivers critical thinking and substantial business value. Thorough understanding of principles, applications and management of SHE and cGMP. Desirable Skills/Experience PhD or equivalent experience in a relevant scientific, engineering, or data field. Demonstrated experience operationalising MLOps, model lifecycle management, and validation in GxP contexts. Familiarity with generative AI, knowledge graphs, semantic layers, and digital twins for manufacturing and CMC. Experience leading global, multi functional teams and vendor ecosystems across multiple time zones. Knowledge of ICH guidelines (e.g., Q8-Q12) and regulatory interactions related to digital/AI enabled submissions. Track record of thought leadership (e.g., publications, conference talks, patents) on AI and data in CMC. Certification in Lean Six Sigma or portfolio/program management. Experience spanning both small molecule and biologics would be advantageous. Date Posted 25-Jun-2026 Closing Date 24-Jul-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

the company is where designers, animators, and developers build interactive experiences. Design, animate, and code in one place. What you build in the editor is what ships in your app, game, or website. No mockups, no prototypes, no handoff. The real thing. With the company, designers and developers work with the same tools. No silos. What you see in the editor is what ships in production. Companies like Spotify, Duolingo, LinkedIn, Google, and Fortune 500 automakers use our open-source runtimes to build once and ship everywhere - websites, apps, games, and vehicles. We're looking for a Senior Software Engineer to join our team. As part of a lean, agile team, you'll have a high degree of autonomy, ownership and direct impact on customers, with the opportunity to help shape the architecture of the company's platform as we grow. We're looking for someone who is passionate about the backend and brings lessons learned from scaling SaaS platforms that were used by thousands of active users. About the Backend Team The backend team builds and operates the systems behind the company's cloud platform, focusing on the services and infrastructure that provide the core APIs, real time collaboration, file storage, and background processing for the editor. We also own a few full stack services that power the marketplace and customer facing experiences. How we work With a high degree of autonomy and ownership, engineers are trusted to identify problems, shape solutions, and drive the technical direction of the platform. Everyone contributes to architectural decisions and has a broad impact across our stack. While our focus is on backend systems, there are also opportunities to influence and contribute to other parts of the company, including the editor and the runtimes. Collaboration is core to our culture - teams across the company work closely to design, build, and evolve our product together. We provide modern tooling, including a generous AI/tooling budget, and encourage thoughtful use of AI assisted development where it improves speed, understanding, and quality. The team is distributed between the U.K. and U.S., where we maintain a hybrid office for collaboration and deep technical work. What you'll work on: Core APIs and services that drive the company editor, multiplayer collaboration, asset management, and the company Marketplace. Database architecture and optimization, designing schemas and queries that perform at scale and evolve with our product. Customer facing applications for authentication, accounts, billing, and team management. Observability and telemetry, building insight into how our systems behave and how customers use the company. File and asset storage systems, including object storage, CDN distribution and caching layers for fast, reliable access. Real time infrastructure for live collaboration, syncing thousands of changes per second across sessions with low latency. Distributed background systems for rendering, asset conversion, and large scale task orchestration. Scalability and reliability engineering, ensuring the company stays fast and stable as we grow. Security, compliance, and permissions models that protect our customers and meet enterprise grade standards. Tech Stack includes: Node.js (TypeScript & JavaScript), Dart/Flutter, C++, MySQL (Aurora), Redis, OpenSearch, AWS (Fargate, Lambda, CloudWatch), Docker, Terraform, GitHub Actions Requirements 8+ years of professional software engineering experience, specifically in backend and infrastructure. Proven track record of owning and delivering backend services for scaling SaaS based products that are widely relied upon by active users. Node.js experience, or strong experience in multiple programming languages and evidence of learning new ones quickly. Experience with cloud infrastructure (AWS preferred), infrastructure as code, and container orchestration. Strong SQL skills, including hands on experience with query analysis and optimization. Ability to work independently in ambiguous situations: seek out requirements, make sound decisions, and prioritize effectively. Excellent communication skills, with willingness to work directly with customers when needed. Benefits £120k-£135k or $170-195k USD base salary + stock options Unlimited holiday (PTO) and comprehensive health benefits Parental leave Regular team meetups and travel opportunities Hybrid flexible work environment with Offices in London (Farringdon) and San Francisco (Potrero Hill) Coffee and lunch on us when you're in the office Compensation may depend on the level of experience and geographic location. Visa sponsorship is not available. The successful candidate will be required to provide evidence of their right to work in the U.K. or U.S. prior to commencing employment. At the company, we are a global group of passionate designers and developers who believe in transparency, failing fast, quick iteration, and experimentation. We aim to build a diverse and inclusive culture where everyone feels supported. We have an incredible opportunity to change the world of interactive content creation. Help us accelerate the design industry's transition to the company! A real human will read your resume, cover letter, and answers to the application questions so please take a minute and tell us more about you! Applications suspected to be entirely AI generated may not be considered. We value genuine, thoughtful responses and authentic, human communication.

About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!

London, England, United Kingdom About the Team EQT Digital is a specialist team of 25 people globally embedded within EQT's Deal Services function, working across the full investment lifecycle to drive digital and AI enabled value creation within EQT's portfolio. We focus on the larger companies in EQT's private equity and infrastructure buy out funds, partnering closely with deal teams, portfolio company leadership and external advisors to translate technology capability into commercial outcomes. As a team, we operate at the intersection of data, technology and value creation, and we are building the internal infrastructure to make our collective knowledge compound over time. This internship would be a direct contribution to that effort. About the Role EQT Digital has started defining a target architecture for its internal knowledge and intelligence layer: a structured, queryable data asset that captures technology, AI and digital project intelligence across EQT's portfolio. The goal is a data layer that every team member can access and continuously enrich, and that can be selectively surfaced to the broader EQT organisation and portfolio companies to generate insight from unique knowledge from our (mostly) unstructured data. As an AI Engineer Intern, you will own the data pipelines to ingest unstructured data, parse and extract information, and design a data model that ensures the system is appropriately set up for users to consume on different interfaces. Concretely, you will: Work with the EQT Digital and broader EQT teams to define most valuable data assets / information to extract Design and implement document parsing pipelines to extract structured intelligence from unstructured sources, including text documents, slides, and internal correspondence (email, messaging platforms), applying prompt engineering techniques to maximise accuracy and consistency across document types and formats Develop evaluation pipelines to monitor correctness and coverage of the extracted information Stabilise the pipelines for production use in Google Cloud, including error handling, logging, alerting, and output quality checks Define consumption interfaces for the extracted data Document architecture decisions, data model choices and pipeline behaviour so the system can be handed over, maintained and extended About You You are a Master's student with hands on AI engineering experience and a strong instinct for building things that solve users' problems and can be productised. You are comfortable with ambiguity, ask questions before writing any code, and can reason about how solutions or features bring value to the team (in order to arbitrate & prioritise requests). What you'll bring Master's level training in computer science, data science, machine learning or a related technical field (you can be in the process of completing your Master), with practical AI engineering experience beyond coursework Solid Python skills and experience with cloud database and pipeline products Hands on experience with LLM APIs and prompt engineering: you know how to design prompts for structured extraction, how to evaluate output quality, and how to iterate when results are inconsistent Familiarity with modern AI tooling, LLM APIs and established libraries Experience designing data models to make data easy to query and expose Ability to work independently on a scoped problem, including technical development and interacting with domain experts to make informed decisions Ability to communicate progress clearly to a non engineering audience Useful but not required Comfort with the GCP ecosystem - BigQuery and Cloud Run experience is useful Exposure to Terraform is a plus Familiarity with Airtable as a lightweight data layer alongside more structured warehousing approaches; and with orchestration tools such as Dust Interest in private equity or investment management contexts: you don't need a finance background, but intellectual curiosity about what we do is important What Success Looks Like We aim to work in sprints, defining which data sources are priority to ingest as part of our knowledge base and then working from raw ingestion through to a working consumption interface, with a data model designed, pipeline automated, and output queryable by the team. A successful internship means several of those data sources are ingested in the knowledge base and in active use by the team before you leave. Concretely: Each data source you take on is fully operational end to end: ingested, parsed, structured in BigQuery, automated on GCP, and accessible via at least one interface. Extraction quality is measurable and documented: the team can see what confidence looks like and trust the output Each iteration is documented as you go The order of data sources and the scope of each iteration will be agreed at the start and re evaluated regularly. We stay agile: if an earlier source surfaces unexpected complexity, we adapt rather than push through. What We Offer Ownership of a meaningful technical problem Direct collaboration with a small, senior team with diverse profiles (all coming from Tech backgrounds & companies) Exposure to how a global PE firm thinks about data, AI and technology across a portfolio of approximately 200 companies Opportunity to see your work move into production and be used by the team before your internship ends Logistics Duration: 6 months (flexible depending on availability and academic calendar) Location: London Start date: September or October 2026, Visa Sponsorship available Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; we understand and believe that being a great place to work drives the best performance. At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose driven global investment organisation focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business' development, from start up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee generating assets under management), within two business segments - Private Capital and Real Assets. With its roots in the Wallenberg family's entrepreneurial mindset and philosophy of long term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.