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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

As one of the world's largest networks of audit, tax and consulting firms, the company delivers big ideas and premium service to help middle-market businesses thrive. We're a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then the company is the place for you. Purpose As a senior and experienced Workday Build, Extend, Prism Developer you will own the design, governance, delivery of enterprise-grade Workday solutions across the platform. Working with the product development, functional experts, change and architecture teams you will develop client centric, scalable and secure solutions, ensuring on-time delivery in a demanding and deadline driven environment, whilst embedding robust governance, security and change management practices that de-risk the business. The role operates in the intesection between technology, architecture, and operations and you will act as a trusted advisor & inflencer to senior stakeholders, functional teams and other subject matter experts as part of their decision making. Mentoring and developing the skills of the internal Workday team and pushing the boundaries of the platform capabilities. Responsibilities End to end design and delivery of workday solutions across Build, Extend, Prism, and associated Orchestrations Translate complex business requirements into secure, scaleable, client centric solutions - provide clearly articulated solution options, trade-offs and risks. Embed RSMs SDLC governance framework and stablish consistent data models, UI, workflows, AI development, and integration methodologies. Ensure all solutions adhere to the enterprise change management and release framework. Apply security architecture with product and solution design (domains, roles, access models and segregration of duties). Ensuring that soltions are designed with a security-first principles with appropriate auditing and gateway protections. Operate effiectively within a fast paced, deadline drive delivery model, managing competing priorities and stakeholder expectations. Drive speed to value whilst maintaining quality and control discipline Lead complex initiatives including multi-source, orchestration and advance platform capabilities. Qualifications Must-Have 2+ years hands-on Workday development (or 4+ years Workday ecosystem) 5+ years of software development experience including Web apps. Strong grasp of Workday data model, security, business processes, custom objects/orgs, calculated fields, and reports/RaaS. Demonstrated delivery of production apps (portfolio or walkthroughs at interview). Proficiency with REST APIs and Workday Integration patterns (EIB, Studio, Core Connectors). Solid understanding of SDLC, peer reviews, and test strategies. Experience training or mentoring developers/analysts; ability to produce clear enablement assets. Excellent communication, stakeholder management, and documentation skills. Nice-to-Have Whole platform domain exposure including FIN/HCM/Payroll/Security -e.g., approvals, exceptions, vendor onboarding, expense governance, journals, controls, agentic AI and machine learning, lifecycle. Experience in AI product development. Familiarity with Workday BIRT, Workday Reporting (advanced), Time Tracking. Scripting experience (e.g., JavaScript/TypeScript, Python) for tooling and documentation automation. Knowledge of privacy & compliance (GDPR, SOX, ISO27001) and secure coding practices. Education & Certifications Computer Science, Information Systems, Engineering or equivalent experience. Workday certifications (HCM/FINS/Integrations/Reporting/Extend/Build/Prism) strongly preferred. Accounting qualification or relevant experience. Diversity and Inclusion At the company, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.

JOB DESCRIPTION As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. Equal Employment Opportunity Statement 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.

At the company, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we're serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration. We're currently expanding our engineering teams in London and looking for experienced Tech Leads. This is an individual contributor role with technical leadership scope, it's not a people management position. You'll drive the development of infrastructure features that shape our product's future from UI to database. Check out our Engineering Blog - company/ Note: This is a hybrid role based in our incredible London office in Fitzrovia, with 3 days per week on-site. About the role You'll work with experienced and highly talented engineers who are passionate about what they do, using cutting edge technologies in a data and impact driven environment. We foster a culture of transparency, full ownership, teamwork, and a no ego policy. Our engineering department consists of multiple groups, each responsible for a critical domain within the company product. With over 400 engineers, we operate in cross functional teams, collaboratively defining, improving, building, and delivering features. What you will do Play a key role in shaping our product architecture and engineering excellence. Evolve our architecture and engineering practices to support the ever growing scale of users, features, and data. Work alongside experienced and highly skilled developers with cutting edge technologies. Collaborate closely with Product and Design teams, taking full ownership and responsibility from conception to post deployment in a fast paced, dynamic environment. Tech stack: React.js, Redux, Node.js, Ruby on Rails, AWS, Elasticsearch, Redis, MySQL. Note: Prior experience with our tech stack is not required; we welcome people willing to learn. Requirements 6+ years of experience as a Software Engineer. Strong technical expertise with a proven track record of building products that people love and use daily. Full stack development experience, with a primary focus on backend. Experience developing large scale, user facing web products. Deep product understanding and a passion for creating software that delivers an exceptional user experience. Strong team player with excellent communication skills and empathy. Commitment to quality and simplicity in engineering and product development. What the company can offer you Opportunity to join a well funded, publicly listed company with big ambitions and strong growth potential. Competitive base salary, bonus, and RSUs. Private healthcare insurance, critical illness, and life insurance coverage. Pension contributions matched up to 7%. ClassPass membership. Buffet breakfast and lunch provided at the office, Monday to Thursday. Fully dedicated learning and development team that provides opportunities for our employees to hone and gain new skills. Fun team events, socials and offsites. Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named "Best Place to Work" in the UK. A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, São Paulo, and Tokyo.

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.

Principal Software Engineer, Mobile (React Native) Nine Elms, London - Full-time (5 days a week on-site) About the company the company is London's leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi trillion dollar convenience retail market, currently dominated by major players, by developing best in class customer centric technology and fulfilment solutions. the company partners with some of the world's leading brands to deliver an exclusive range of hand picked products 24/7, delivered in minutes. Quick commerce is a genuinely hard mobile problem. Stock changes by the second, orders and riders move in real time, and we make sub minute promises we have to keep, all on patchy high street connections across a huge range of devices. Getting that right, fast and reliably, is the job. We are serious about AI, as a way of working rather than a slogan. AI assisted development is part of the daily toolkit here, and we ship LLM powered features where they genuinely make the product better. The Role As Principal Mobile Engineer you own the technical direction of our consumer iOS, Android and web apps, all built on React Native. This is a deliberately hands on Principal role. You set the architecture and the standards, and you are still in the code every week shipping the hardest parts yourself. You will be the most senior mobile engineer in the company and the person the rest of the team levels up against. You will work closely with stakeholders in Commercial, Marketing and Operations to shape what we build and make sure the app serves the whole business. What you'll do Own the architecture of the React Native app across iOS, Android and web, and make the calls on patterns, tooling and technical direction Stay hands on: ship the hardest features yourself and set the standard for what good looks like in the codebase Raise the engineering bar across the mobile team through sharp code review, mentoring, and the example you set Drive performance, stability and responsiveness, profiling and fixing the things that actually hurt on real devices and real networks Own the release process and the health of what we put in front of customers Partner with the wider business and the leadership team to turn ideas into fast, reliable, polished experiences Work across the stack where it helps, into the backend APIs and data layers that feed the app Use AI tooling (Claude, Cursor, Copilot) to ship faster and help the team get genuinely good at it, and build AI powered features with LLM and on device capabilities where they improve the product What you'll bring Essentials A track record of building and shipping B2C consumer mobile apps at scale, and being the person who sets technical direction for a mobile team Deep React Native expertise across iOS and Android, with the judgement to know its limits and drop into native when needed Strong TypeScript Real command of mobile performance, stability and release processes Solid grasp of mobile security: secure storage, authentication patterns, and API security You take genuine end to end ownership and operate autonomously You communicate clearly, in writing and in person, and can bring people with you on a technical call rather than just winning the argument You have probably been doing this for 7 or more years, but we care about the impact you have had, not the number on your CV. Nice to have Node.js (Express, Fastify) for the API layer React.js or React Native for Web Native experience (Kotlin, Swift) for the bridge and the trickier native modules GraphQL, GCP, Firestore, Event Driven architecture Hands on experience building with LLM or AI APIs Benefits Competitive salary, plus meaningful equity 25 days holiday, plus all bank holidays Private health insurance Extended sick pay and enhanced maternity and paternity leave Cycle to work scheme

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.

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.

Location London Employment Type Full time Location Type Hybrid Department Engineering Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role You will focus on friction points around primarily backend issues for all teams in Engineering (90 Engineers). How should we do inter-service testing? Some teams are using monorepo, others aren't. How can we bring overall stability up? Generally steering BE in the right direction. In the near future, standardising things across all of Engineering and bringing R&D teams (another 40 Engineers and Researchers) closer. You will have ownership of projects that span quarters, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of Engineering, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 12-18 months' time. You will work end-to-end, from our client application written in React to our monolithic backend written in Python, and lead projects that span across multiple teams. What we're looking for: At least ten (10) years of experience as a software engineer, at least 2 at the Senior Staff/Principal level (L7+). Previous leadership experience in driving projects across multiple teams (50+ Engineers). Experience in a high-performing engineering Org that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. Relevant engineering experience for a team building an enterprise-grade SaaS product. Extra points for delivering AI-powered video generation product, billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 200.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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!

About Theodo Theodo is an engineering & design consultancy with offices in Paris, London, New York, Casablanca and Cape Town. We build high-quality digital products for clients across industries, and we are increasingly working with enterprise organisations on complex, high-impact tech modernisation programmes - including AI-powered code modernisation. We run lean internally: we care about process, continuous improvement, and doing things properly. Our founders have written books on the best practice for using lean to scale agile in large organisations. The Opportunity We're looking for a Graduate Software Engineer to join our engineering team and kick-start their career building real products for our clients. You'll be working with experienced engineers from day one, working across the stack on live projects rather than sandboxed training exercises. This is a great opportunity for someone early in their career who wants to learn fast, take on responsibility quickly, and grow into a well-rounded software engineer. Key Responsibilities Write, test, and maintain code as part of a cross-functional delivery team Participate in code reviews, sprint planning, and daily stand-ups Work closely with senior engineers to learn best practices in software design, testing, and deployment Help troubleshoot and resolve bugs and technical issues Build strong working relationships with client stakeholders, communicating progress and gathering feedback throughout delivery Contribute to technical documentation Continuously build your skills through on-the-job learning, mentoring, and training What We're Looking For A recent graduate in Computer Science, Software Engineering, or a STEM subject A genuine passion for technology and problem-solving Strong communication skills and the ability to work well in a team A curious, proactive mindset, comfortable asking questions and learning from feedback Eagerness to take ownership of tasks and grow into greater responsibility over time Required Skills and Experience Solid foundation in at least one programming language (e.g. JavaScript, Python, Java, or C#) Understanding of core computer science fundamentals (data structures, algorithms, version control) Familiarity with Git and collaborative development workflows Exposure to web development, databases, or cloud platforms is a plus (through coursework, internships, or personal projects) No professional experience required, we're looking for potential and a willingness to learn What We Offer 25 Days annual leave Learning and Development support throughout your career at Theodo Private Health Insurance via Vitality 3 week work from anywhere policy Equipment budget for your tech set up Company pension Monthly Socials A Slack network of 700+ "Theodoers" across our extended ecosystem - ask questions, share patterns, or troubleshoot obscure challenges with some of the sharpest minds out there A hybrid working model, with offices based in London

Job Title: Senior Python Developer Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes: Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.

Funding End Date 31 Aug 2028 Hours per week 37 Project Title Senior Project Software Developer (COPO) Months Duration 24 Flexible Options Although full-time hours are available, applications from those interested in working part-time hours are also welcomed. Job Description Main Purpose of the Job The Earlham Institute is seeking a versatile full-stack Research Software Engineer (RSE) to join the team behind COPO (Collaborative OPen Omics). COPO is a production-deployed metadata and data-brokering platform that has been developed and operated at the Institute since 2015. COPO underpins some of the largest biodiversity genomics programmes attempted to date, having brokered more than 80,000 samples from over 4,800 species to public repositories such as the European Nucleotide Archive, with automated validation, expert curation and full audit trails. The successful candidate will join the small engineering team that builds and operates COPO, contributing across the full stack -frontend interfaces, APIs, and the services that connect them to the platform's validation, curation and submission pipelines. Data visualisation, dashboards and API design will be at the centre of the role, but the post is deliberately broad: COPO supports a range of research communities and projects, and the work varies with the needs of those the platform serves. This is a broadly scoped full-stack role with metadata validation, translation, visualisation and API design as its primary focus. It suits an engineer who enjoys turning complex scientific data into clear, reliable, well-documented interfaces that researchers and the wider community can depend on. Being a senior, hands-on role, you will own significant components of the project end to end, make day-to-day architectural decisions, and drive delivery to time. Key Relationships Internal: COPO Team Lead / Group Leader (direction, prioritisation, line management); the COPO development team of fellow engineers and frontend developers (collaboration, code review, and mentoring); EI bioinformaticians and research scientists (scientific and metadata requirements); Scientific Computing / IT infrastructure teams (compute, storage and platform services); and project managers / programme coordinators (planning, reporting and effort estimates). External: genomics and biodiversity programmes and projects that COPO supports; EMBL-EBI / ELIXIR services such as ENA and BioSamples; other public repositories and registries such as Zenodo and DataCite; metadata-standards communities including RO-Crate, ISA, MIxS, Darwin Core and Bioschemas; and the wider open-source community and downstream COPO users. Main Activities & Responsibilities Dashboards, data visualisation and data portals Design, build and maintain interactive dashboards and public data portals, from data model through to production deployment. Translate complex, multi-source scientific metadata into clear, accurate and accessible visualisations. Build reporting and summary views that are reproducible and auditable, including snapshots for governance and reporting. Apply good practice in accessibility, responsive design and information design so that outputs are usable by researchers and the public alike. APIs and backend services Develop, document and maintain RESTful APIs that expose metadata in multiple formats for internal tools and external consumers. Integrate frontend and portal services with COPO's validation, curation and submission pipelines. Ensure APIs are performant, versioned, secure and well documented so third parties can build against them with minimal support. Full-stack engineering and platform contribution Contribute across the COPO codebase: frontend, backend and supporting services as a flexible member of a small engineering team. Write clean, tested, maintainable code with appropriate use of version control, code review, CI/CD and containerisation (Git, Docker). Help deploy and operate COPO instances, working with colleagues on deployment, monitoring, backup and reliability. Collaboration, standards and support Work closely with the technical lead and engineering colleagues to extend the platform and its metadata standards. Help add support for new data types and metadata schemas, and reflect these in the interfaces and APIs you build. Support research users onboarding onto the platform, including documentation, tutorials and responsive help. Produce clear technical documentation and contribute to open-source releases under permissive licences. As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance Degree (or equivalent professional/practical experience) in computer science, software engineering, bioinformatics or a related discipline Essential Specialist Knowledge & Skills Requirement Importance Proficiency with version control (Git) and collaborative development workflows, including code review Essential Understanding of FAIR data principles, ontologies or controlled vocabularies Essential An understanding of, and willingness to apply, good engineering practice: automated testing, clear documentation and basic security awareness Essential Able to translate complex requirements into clear, usable interfaces, with strong attention to accuracy and detail Essential Familiarity with cloud or research-computing infrastructure Desirable Exposure to genomics, biodiversity, ecology or a related life-science domain Desirable Requirement Importance Demonstrable experience building and maintaining full-stack web applications in JavaScript and a backend language (Python preferred) Essential Experience designing, building and documenting RESTful APIs Essential Experience with containerisation and deployment (Docker; CI/CD pipelines) Essential Experience designing and building data visualisations or dashboards, using libraries such as Plotly, D3, or equivalent Desirable Experience working with structured or scientific data, metadata standards, or data-intensive systems Desirable Management and Leadership Requirement Importance Experience mentoring, coaching or line-managing other developers Essential Interpersonal & Communication Skills Requirement Importance Committed to open, reproducible and well-tested software Essential Able to work both independently and as a flexible, collaborative member of a small team Essential Good written and verbal communication skills, including the ability to produce clear technical documentation and explain technical matters to non-specialists Essential Comfortable working with, and responsive to, a distributed community of research users Essential Able to work independently, use initiative and apply problem solving skills Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Attention to detail Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Willingness to work outside standard working hours when required Essential Ability to maintain confidentiality and security of information where appropriate Essential Who We Are About the Earlham Institute The Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration . click apply for full job details

(Senior) Research Software Engineer - AI Co-Scientist Systems Job Title (Senior) Research Software Engineer - AI Co-Scientist Systems Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £38,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI Co-Scientist Systems and Lab Automation Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will take a research-active software engineering and AI systems role in the AI for Biology Group, building the AI-agent-driven platform required for Generative Digital Biology. The role will connect foundation models, scientific tools, biological datasets, experimental design algorithms, lab automation workflows, robotics interfaces and human in the loop scientific decision making. This is a platform building research role, not a conventional bioinformatics software support post. The successful candidate will contribute intellectually to research, develop publishable AI systems, build open source software and demonstrators, co author research outputs and support competitive grant applications. The role would suit a highly capable computer scientist, AI systems researcher, robotics engineer or research active software engineer who wants to build the technical backbone for AI driven biological discovery. A key objective will be to develop an AI co scientist demonstrator for the group and the Institute: a platform that can show how AI agents can interact with human scientists via virtual/augmented reality, reason over biological questions, call scientific tools and APIs, use foundation models, design experiments, interface with computational and physical workflows, and support rigorous, auditable and reproducible scientific discovery. The post holder will work closely with the other AI for Biology appointments. Foundation model research in the group will provide biological representations and predictive models; generative and causal AI research will provide design and experimental decision algorithms; this RSE role will build the software, agentic workflows, tool registries, automation interfaces, provenance mechanisms and demonstrator environment that connect these components into a usable scientific discovery system. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design build test learn cycles; with Cellular Genomics and Single cell and Spatial Analysis on perturbation, cell state and single cell/spatial omics use cases; and with BioFAIR, ELIXIR UK, Open and FAIR Data and Research e Infrastructure colleagues on AI ready design datasets, benchmarks, provenance and reproducible workflows. Prior experience in lab automation is desirable but not essential. We particularly welcome candidates with exceptional computer science, large scale machine learning systems, robotics or software engineering backgrounds who are motivated to apply their skills to biological discovery and to learn the relevant biological and automation context. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures, Research e Infrastructure and technology platforms. Key internal relationships are expected to include Earlham Biofoundry and engineering biology colleagues for lab automation, robotics interfaces and design build test learn workflows; Research e Infrastructure for HPC/GPU/cloud, reproducible software and scalable model deployment; BioFAIR, ELIXIR UK and Open and FAIR Data colleagues for AI ready resources, provenance, data/model documentation and interoperable workflows; Cellular Genomics and Single cell and Spatial Analysis for biological use cases; and relevant EI groups working on plants, microbes, biodiversity, health, genomics and data intensive bioscience. EXTERNAL: The post holder will interact with UK and international collaborators in AI, AI agents, machine learning systems, research software engineering, robotics, laboratory automation, autonomous experimentation, computational biology, engineering biology, genomics, plant science, human health and therapeutic discovery. External collaborations may include academic, public sector, infrastructure, clinical and industry partners where appropriate. Main Activities & Responsibilities Design and build the AI Co Scientist system/software architecture for the GDB programme, including agent orchestration, tool registries, model interfaces, workflow execution, data/model versioning and provenance tracking. For appointment at SC5, take technical and operational leadership of a defined AI Co Scientist platform or workstream; own the architecture, roadmap, milestones and technical risk decisions; and deliver the work with limited supervision (essential for SC5). 20 Develop AI agent workflows for scientific reasoning, literature/data retrieval, tool use, planning, hypothesis generation, experimental design, result interpretation, iterative refinement and human in the loop decision making. 15 Build software interfaces connecting AI agents with biological datasets, foundation models, generative models, Bayesian experimental design, optimisation algorithms, benchmarking tools and HPC/GPU/cloud resources. For appointment at SC5, coordinate cross platform integration, define interface contracts and engineering standards, resolve technical dependencies, and ensure coherent delivery across AI, data, infrastructure and automation partners (essential for SC5). 15 Develop interfaces to lab automation, robotics, biofoundry workflows, instrument control APIs, LIMS/ELN systems, digital twin/simulation environments or related physical AI workflows where appropriate. 15 Build an interactive AI Co Scientist demonstrator environment for research, collaboration, grant development and institutional showcase purposes. 10 Implement robustness, safety, permissioning, sandboxing, audit trails, provenance, reproducibility, monitoring and responsible use/dual use aware controls for AI systems operating in biological contexts. For appointment at SC5, define and lead implementation of software quality, testing, security, provenance, auditability and safe tool execution standards, including design/code review and release readiness decisions (essential for SC5). 10 Contribute intellectually to research papers, conference submissions, technical reports, open source software releases, demonstrations, presentations and community resources. For appointment at SC5, lead major software releases, demonstrators and technical/research outputs, and represent the work in relevant internal and external forums (essential for SC5). 10 Contribute to collaborative projects, competitive grant applications, documentation, testing, responsible data handling and long term platform strategy for the AI for Biology Group. For appointment at SC5, make substantive contributions to grant development and long term platform strategy, and provide technical guidance or mentoring to junior researchers or engineers (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing, Data Science, Computational Biology or a closely related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong hands on software engineering ability, evidenced through substantial implemented systems, research software, open source code, AI/ML platforms, robotics/automation software or scientific computing projects Essential Experience designing, implementing and maintaining complex research software systems, AI systems, agentic workflows, robotics/automation software, scientific platforms or data intensive computational infrastructure Essential Experience with modern AI systems or scientific computing systems, such as large language models, tool-using agents, retrieval augmented generation, workflow orchestration, model APIs, machine learning frameworks, and the ability to develop agentic workflows for scientific applications Essential Understanding of, and commitment to, trustworthy AI, robustness, safety, provenance, auditability, sandboxing, permissioning, monitoring or dual use aware AI workflows for biological applications Essential Ability to build robust, maintainable and reproducible software using version control, testing, documentation, containers, APIs, databases, workflow tools, CI/CD and deployment on HPC, GPU, cloud or distributed computing environments Essential Demonstrable practical experience designing and building AI-agent, multi agent or scientific agent systems, including relevant experience in orchestration, tool use and evaluation (essential for SC5) Desirable Experience with robotics, lab automation, self driving laboratories, autonomous experimentation, instrument control, liquid handling platforms, automated microscopy, microfluidics, sequencing workflows, biofoundry platforms, ROS/ROS2 or related hardware/software integration Desirable Experience with biological data, genomics, single cell data, imaging . click apply for full job details

Key Responsibilities Work proactively to solve potential problems and inefficiencies. Communicate clearly and collaborate with others to deliver results with minimal supervision. Participating in 24/7 on-call rotation to troubleshoot high severity issues. Analyzing dashboards and investigating metrics with the vision for improvements. Troubleshooting and diagnosing problems and working on solutions. Create and maintain Standard Operating Procedures (SOPs) and runbooks for documentation. Discuss radical new approaches to automate operational issues, assess risks and develop creative solutions. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: A Day in the Life Amazon has a collaborative, purposeful and enthusiastic environment where we "Work Hard, Have Fun, Make History." On a typical day engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with senior engineers at Amazon. We own our services and believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes. Our Systems Engineering roles help engineers develop a broad range of skills. They utilise their Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. They draw on their networking knowledge to identify and troubleshoot network connectivity issues. They communicate clearly and collaborate with others to deliver results. They are self-starters, comfortable dealing with ambiguity and change. They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely. Basic Qualifications Bachelor's degree in Computer Science or other technical degree or related experience Knowledge of networking fundamentals Experience working in a 24/7 production environment Experience in Linux systems administration and/or development Experience working in at least two of these languages: Python, Java, Perl, PHP, Ruby or Bash/Shell Preferred Qualifications Knowledge of configuration management systems, such as Puppet, Chef, Ansible, or related systems Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration Experience in network capture and systems troubleshooting Experience building scripts, tooling, and automation for large-scale computing environments Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Are you ready to make your mark in the world of Formula 1?At Formula 1, we are passionate about delivering the world's greatest sports and entertainment spectacle leaving a positive legacy wherever we race. Innovation has always been at the heart of what we do ever since our first Grand Prix in 1950. Now, more than 75 years on, the sport remains a pioneer, developing technologies that have made a significant impact on society beyond the track.Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport.Role Overview:We are looking for a Sporting Systems Technician to join our Track Systems team.Reporting into our Engineering Manager - Sporting Systems, this role will support the installation, deployment and management of the F1 timing data acquisition and communications system at F1 race locations.Main Duties and ResponsibilitiesCompetently install the timing loops, beacons and track temperature sensors in the surface of the track. This involves manual work including digging, soldering, operation of machinery and tools (for which health and safety training will be provided).To work in a safe way at all times with consideration to company and location specific Health and Safety requirements.Installation, testing and termination of co-axial cable and multi core twisted pair data cable used for loop and decoder data communications.Test and verify correct function of all timing data acquisition equipment and related hardware.Fault finding on basic IT networks and cable systems.Compile and publish reports for the department.Be prepared to work in an outdoor environment in a multitude of global destinations.Ensure department and company tools and equipment are correctly used, maintained and freighted between races.Read, comprehend and work to the F1 Circuit Drawings to achieve the correct equipment setup for a race.Learn to configure and monitor incoming and outgoing data using F1 software to ensure correct function of company systems. Report issues to the F100 team and associated clients.Mark loop IDs on track with spray paint.Install beacon fittings in track and pit lane.Mark front axle points for pit-stop boxes in pit lane.Configure and deploy the timing decoders, pit lane nodes and workshop furniture.OtherBasic data analysis to identify trends and faults.Safe loading and unloading of work equipment.What Are We Looking For?Personal QualitiesIn this role it is essential that you are:Well presented, organised and a positive can-do attitude.Strong team working ability - capable of working outdoors in both hot and cold weather.Ability to travel on a regular basis for extended periods (1 to 3 weeks).Willingness to learn new skills and a keen interest in the technical subjects related to the job role.Excellent communicator with ability to express oneself accurately and concisely.Good time management skills.ExperiencePrior to the role it would be essential that you have:Fault finding on electrical/electronic wiring systems.Reading, understanding and working to wiring diagrams and technical drawings.Some desirable experience that you may bring to the role:Working knowledge of IP addressing, TCP/IP communicationsPrevious experience working in similar environment such as electronics or network ITQualificationsYou may also have the following qualifications:Qualifications in Motorsport Engineering with an electrical/electronic bias.Career Progression - Where Can You Go Next?Your next career move is to Senior Sporting Systems TechnicianWhy join the force behind the sport?Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic work environment where ideas are heard, and employee contributions truly make an impact. We seek to recruit, develop, and retain the most talented people to play their role in accelerating the future of the sport. As a member of the F1 team, you will be able to access our amazing benefits:Private Healthcare schemeDental Care4 x Grand Prix Paddock passes per seasonEnhanced maternity/paternity leave and other family planning policiesA free staff shuttle service running to and from surrounding trains stations near to Biggin HillFree healthy snacks in our officesSubsidised canteen in Biggin Hill, serving breakfast and lunch25 days annual leave and 8 Bank Holiday days, plus a Christmas period closureOpportunities to develop and request training for your role via our in-house Learning and Development teamDiscount on F1 merchandiseDiscount at F1's experiences including F1 Arcade and F1 DrivePerkbox benefit portal and moreRecruitment Fraud Warning: We only communicate with candidates through email addresses. We will never contact you via personal email accounts, messaging apps, or request payment as part of our recruitment process. If you receive suspicious communication claiming to be from our talent team, please report it to :Technical