5079 jobs found

AI Chopping Block is looking for a Lead AI/ML Engineer to set the technical direction for AI-driven projects in the public sector. This role involves leading the development of AI-powered platforms and guiding a distributed engineering team. You will ensure architectural decisions align with client goals and standards. The ideal candidate has a strong background in AI/ML, experience in managing software teams, and excellent stakeholder communication skills. Join us and help shape the future of AI implementation in government.

Traveltechessentialist in the United Kingdom is seeking a Senior Architect to shape the technical direction of its B2B platform. You will manage complex technical projects and partner with diverse engineering and product teams. The ideal candidate will have over 8 years of experience in software architecture, with a strong focus on mentoring and collaboration across units. This role involves driving architectural design, establishing technical standards, and guiding teams towards achieving business outcomes.

Are you passionate about transforming how developers build, deploy and operate software? The company is looking for a Developer Experience & Platform Engineering Solution Architect to join our growing Cloud & Apps Practice, helping some of the UK's largest public and private sector organisations modernise software delivery through Platform Engineering, Internal Developer Platforms (IDPs), DevOps and Developer Experience (DevEx) best practices. As a senior member of our Cloud & Apps Practice, you'll work at the intersection of technology strategy, architecture and delivery, partnering with customers to design and implement modern engineering platforms that improve developer productivity, accelerate delivery and enhance operational resilience. What you'll do Lead customer engagements focused on Developer Experience, Platform Engineering and enterprise software delivery transformation Design and architect Internal Developer Platforms (IDPs), CI/CD pipelines and cloud-native engineering platforms at scale Facilitate workshops with engineering leaders, product teams and platform stakeholders to define target architectures, operating models and delivery roadmaps Translate complex business and technical challenges into clear, implementable platform and DevEx solutions Provide end-to-end technical leadership across pre-sales and delivery engagements, from discovery through to implementation assurance Support sales teams with opportunity shaping, bid responses, solution design and commercial proposal development Define reusable patterns, reference architectures and engineering standards across the Cloud & Apps Practice Research and experiment with emerging tools, technologies and practices to evolve our Platform Engineering and DevEx offerings Lead and mentor consultants and architects, ensuring high-quality delivery across multiple customer engagements Ensure solution quality through design assurance, technical governance and risk identification across multi-technology environments What you'll bring Platform Engineering and Internal Developer Platforms (IDPs) Developer Experience (DevEx) and DevOps transformation Kubernetes (AKS, EKS, OpenShift) CI/CD tooling including GitLab, GitHub Actions, Jenkins or Harness Infrastructure as Code (Terraform or equivalent) Backstage or similar developer portal technologies Observability, monitoring and developer feedback platforms Secrets management and identity solutions such as HashiCorp Vault Progressive delivery, release orchestration and modern deployment practices You'll be comfortable engaging with senior stakeholders, leading technical teams and translating business challenges into practical, scalable engineering solutions

United States Digital Space LLC is seeking an experienced Senior Integration Software Engineer to design and implement new systems and features and maintain existing systems. You will lead development activities for a new cloud product Pantheon acquired, ensuring efficient software production. The ideal candidate will have extensive experience in .NET software development and demonstrate a strong ability to work collaboratively in an Agile environment. Essential skills include API development, Microsoft Azure solutions, and unit testing.

United States Digital Space LLC is seeking a hands-on role focused on cloud-first and machine learning strategies. You'll be developing high-availability automation workflows and resilient big data pipelines. Your contributions will enhance cloud infrastructure security and cost-effectiveness. Ideal candidates will possess strong skills in cloud infrastructure, automation pipelines, and software development, particularly in Python. An inclusive work environment is prioritized, ensuring accessibility for all.

United States Digital Space LLC in Luton is looking for a Principal Software Engineer to lead and uphold engineering standards across its eCommerce Platform Delivery team. You will own the technical vision, align strategies with business objectives, and drive high performance in software development. The role calls for a deep understanding of SQL, cloud technologies like AWS, and experience in leading complex projects. The position offers a competitive base salary along with bonuses, pension, and flexible benefits.

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.

United States Digital Space LLC is seeking a Senior Software Development Engineer to join their e-Wallets team in London. In this role, you will own software features across the full development lifecycle and work collaboratively in a modern environment enhanced by AI tools. We're looking for someone with significant Java experience and technical leadership abilities. The position involves developing high-volume financial technology platforms and ensuring strong technical outcomes.

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.

About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.

The Login Platform group covers all aspects of user authentication and experience across Terminal and Enterprise (non-Terminal) workflows. This includes teams that manage the company's Single Sign-On (SSO), Multi-Factor Authentication, user login experience, and the sessions platform used to propagate authentication and authorization context throughout the the company ecosystem. Sessions are the backbone of authorization decisions across the company. They are created from entry points including the Terminal, Mobile, Enterprise applications, Web, and more. These sessions need to include the correct entitlements, customer data, and security context so that application teams can make the accurate entitlement decisions. Whenever you access any data in the company, the information that determines what you can do and what data you can access flows through our systems! We're evolving our session and authorization infrastructure to support AI agents, MCP-based integrations, and machine-to-machine workflows across the company systems. We are hiring Senior Software Engineers for two closely related teams in London focused on session infrastructure and session lifecycle management. Where we sit We're part of Login Platform within the Platform Security organization, operating deep in the infrastructure stack. Our teams own the framework that orchestrates sessions enrichment flows, while data-owning teams provide and manage the underlying datasets. Almost every business unit at the company depends on our platform to make authorization and access-control decisions. Our software is critical to maintaining the company's reliability, compliance, and continued growth. Because of our position in the stack, we enforce security not only for others, but for ourselves as well. What you'll do As a Senior Software Engineer, you'll play a key role in shaping and scaling the infrastructure that powers session creation, enrichment and authorization across the company. You will Design, build, and optimize low-latency, multi-threaded backend systems that handle session and authorization data at scale. Collaborate with multiple Engineering and Product teams to deliver a reliable and secure login experience. Contribute to architectural decisions and long-term technical strategy for the Login Platform. Improve tooling, observability, scalability, and performance across critical infrastructure services. Explore and champion new ideas to evolve our systems responsibly over time. Engineers on the team are involved throughout the software lifecycle, including design, deployment, observability, incident response, and long-term platform evolution. Our technologies We work primarily in C++ and some Python, running mostly on Linux, with continued support for Solaris clients until full migration is complete. Because we sit deep in the infrastructure stack, you'll often need to balance innovation with compatibility, designing modern, robust solutions that coexist with legacy systems. You'll need to have Strong software engineering experience in C++, ideally building backend, infrastructure, platform, or systems-level software. Experience designing, building, or operating distributed backend systems, ideally in high-availability, low-latency, or infrastructure-heavy environments. Strong experience designing and building multi-threaded or concurrent applications. Experience owning software across the full lifecycle, including design, implementation, testing, deployment, observability, incident response, and long-term evolution. Ability to make pragmatic system design decisions across performance, scalability, reliability, maintainability, and compatibility constraints. An eagerness to understand a large, non-trivial stack and propose incremental improvements without compromising reliability or security. Strong communication and collaboration skills, with the ability to work effectively across Engineering, Product and platform-dependent teams. A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience. We'd love to see Background in authentication, authorization, identity, access control, entitlement systems, SSO, MFA, session management, or security-sensitive infrastructure. Familiarity with systems that propagate authentication, authorization, entitlement, or security context across distributed services. A track record of building low-latency, reliable backend or infrastructure services. Hands on involvement in improving observability, scalability, performance, reliability, or operational tooling for production systems. Exposure to platform teams that support multiple internal product or application teams. Experience working across multiple business units or products, with an understanding of their operational and integration challenges. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes the company unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. Accommodations The company provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER\ (Americas), EMEA\ (Europe, the Middle East and Africa), or APAC\ (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application. Equal Opportunity The company is an equal opportunity employer and prohibits discrimination in employment. It is the company's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). The company prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.

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

MediaTek Research Lab Inc. is looking for a Sr. Staff Engineer specializing in GPU compiler development. The role focuses on defining GPU compiler software architecture and implementing optimizations. You will collaborate with hardware and driver teams to enhance performance and develop new API features. The ideal candidate has a BS, MS, or PhD in a relevant field and over 6 years of experience in product compiler development, with strong skills in C/C++ programming and compiler optimization techniques.

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.

United States Digital Space LLC is expanding its engineering team in London and is looking for a Tech Lead with significant experience in software engineering. In this role, you will shape product architecture and collaborate with product and design teams, ensuring outstanding user experiences. Ideal candidates will have 8+ years of experience, strong technical expertise, and a passion for creating user-centric products. The hybrid position allows flexible work arrangements with 3 days on-site each week.

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.