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AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.

Senior Platform Engineer Department: Engineering Employment Type: Permanent - Full Time Location: Bristol, UK Reporting To: Stephen Pope Compensation: £70,000 - £90,000 / year Description We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision making for frontline teams, and protecting people and critical assets in demanding environments. Headquartered in Bristol, Rowden employs around 160 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest growing engineering businesses. About the role We're seeking a Senior Platform Engineer to help build the engineering platform that underpins how Rowden develops, deploys, and operates technology. The platform will improve developer experience and make Rowden's engineering faster, more consistent, more scalable, and more secure. This is a high impact opportunity to shape the foundations of one of the UK's most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, you'll be hands on in delivering the platform vision and improving engineering experience. You'll play a critical role in building the tooling, infrastructure, and capabilities that enable our engineers to solve complex customer problems. Candidates must be eligible for SC Clearance. More information about security clearance is available here: Key areas of responsibility Working within the Platforms team, you'll build robust platform services, enabling self service infrastructure, seamless CI/CD, and strong observability, while also supporting API first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through high quality engineering - setting standards and patterns that teams can adopt with confidence. As a Senior Platform Engineer, you will be responsible for: Designing, building, and maintaining core platform infrastructure and services. Developing and evolving internal developer platform (IDP) capabilities, including self service provisioning and deployment workflows. Designing and supporting API first architectures to enable interoperability between systems, services, and external partners. Building and optimising CI/CD pipelines to support consistent, secure, and efficient software delivery. Enabling integration patterns across distributed systems, including event driven architectures and service based communication. Contributing to modular platform capabilities that allow teams to compose and extend functionality. Collaborating Software, Infra, ML, IT, Product, QA, and Security teams to ensure the platform meets real world engineering needs. Implementing infrastructure as code and automation to ensure repeatability, scalability, and reliability. Embedding security, compliance, and best practices into the platform by design. Contributing to platform standards, patterns, and reusable components to drive consistency across teams. Improving observability, monitoring, and alerting capabilities across systems and services. Supporting onboarding of teams to the platform and enabling adoption through documentation and guidance. Continuously identifying opportunities to improve developer experience, reducing friction and cognitive load. Key skills, experience and behaviours We are looking for a highly capable, hands on engineer who enjoys solving complex problems and building systems that others rely on. Skills you'll need: Strong experience building and operating cloud based platforms. Deep understanding of platform engineering principles, including infrastructure as code, CI/CD, system design, and service integration. Experience designing and working with APIs and building integration layers between systems. Experience with tools such as Terraform, Kubernetes, Docker, and modern CI/CD platforms. Experience with cloud and bare metal deployments. Understanding of modular platform design and composable architectures. Familiarity with observability tooling (e.g. logging, metrics, tracing) and building reliable systems. Knowledge of secure by design and zero trust principles. Strong software engineering fundamentals (e.g. Python, Go, or similar) to build platform tooling and automation. Experience working in cross functional teams and contributing to shared technical outcomes. Behaviours that matter: Mission Focused: You care about enabling others to do their best work and delivering meaningful outcomes. Relentless: You take ownership and see problems through to resolution. Collaborative: You work effectively across teams, building trust and shared understanding. Quality Driven: You take pride in building robust, scalable, and maintainable systems. Pragmatic: You focus on solutions that work in practice, not just in theory. Curious & Adaptive: You continuously learn, improve, and embrace new approaches where they add value - particularly in fast moving areas like AI and platform integration. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds, so please apply and come as you are! We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part time working requirements and/or workplace adjustments with all our applicants. Rowden is a Disability Confident Committted company, and we actively encourage people with disabilities and health conditions to apply for our roles. Please let us know your requirements early on so that we can make sure you have everything you need up front to help make the recruitment process and experience as easy as possible. Finally, if you feel that you don't meet all the criteria included above but have transferable skills and relevant experience, we'd still love to hear from you!

About Share Share is a venture-backed internet infrastructure network building Africa's backbone. The company aggregates underutilized telecom infrastructure, fiber, subsea cables, and data centers, and provides ISPs with scalable access to bandwidth without traditional upfront costs. Through an open access model, local internet providers can deliver dramatically faster speeds to their subscribers without raising their own costs. Share's network spans thousands of kilometers of fiber, 12 infrastructure providers, and 10 data centers, reaching over 8 million people across East Africa. The platform team builds the software that makes this work: billing, payments, subscriber management, RADIUS based network authentication, and integrations with ISP billing systems and mobile money providers. We are replacing legacy, non API systems with a modern API platform, and real money is already flowing through the system. This is a small, high intensity engineering team building core infrastructure under real deadlines. You will own entire domains, not tickets. The role We are hiring a VP & Staff Software Engineer to take ownership of the platform's most critical technical domains: the payments pipeline (collections, revenue splitting, treasury operations), the billing engine (subscription lifecycle, cycle management, automated renewals), and the integration layer (BSS/OSS sync with partner systems). You will work directly with the CTO and a small team of engineers to ship production systems that handle real financial transactions for real ISP partners. This is the most senior individual contributor role on the engineering team. You are expected to make architectural decisions, write production code, review others' work, and unblock the team when they hit technical walls. You will not manage people. You will build systems. What you will own Payments domain: SasaPay collections integration (C2B API, STK push, IPN handling), revenue split engine (per partner, per BNG percentage logic), ChoiceBank treasury operations (withdrawals, internal transfers, OTP flows), and the payment completion handler that bridges payment confirmation to subscriber activation. Billing engine: Subscription and BillingCycle lifecycle, automated renewal cron, grace period enforcement, plan change mid cycle logic, and the event driven communication triggers that notify subscribers at every billing moment. Integration layer: Splynx adapter (plan sync outbound, subscriber sync inbound, activation webhooks), custom webhook delivery engine, and the event routing that connects domain events to external system notifications. Architecture decisions: Service boundaries, event contracts (Kafka), data model evolution (Prisma/PostgreSQL), API design for both public and private endpoints, and the migration strategy from the legacy Next.js monolith to the NestJS microservices platform. Technical environment Backend (where you will spend most of your time) NestJS monorepo with 7 microservices (CRM, Billing, Payments, Ledger, Communications, Provisioning, Integrations) TypeScript end to end PostgreSQL with Prisma ORM (shared database, service scoped access) Kafka message bus (migrating from RabbitMQ) for inter service communication (send/emit patterns) Redis for caching, queues, rate limiting, and idempotency REST API gateway with Swagger documentation Payments and financial systems SasaPay (OAuth 2.0, C2B collections, B2B transfers, IPN webhooks) ChoiceBank BaaS API (KYC, internal transfers, OTP based withdrawal confirmation) Revenue split engine with per partner/per BNG/per plan configuration Double entry ledger (AccountTransfer, AccountLedgerEntry, AccountRevenueSplit) M Pesa STK push integration via SasaPay as collections gateway Infrastructure and tooling GitHub Actions CI/CD, SSH deployment to VMs Sentry for error monitoring, Loki + Pino for structured logging (being implemented) Circuit breaker patterns, provider failover, webhook signature verification FreeRADIUS integration for network subscriber provisioning (PPPoE credentials, plan attributes) Legacy system (active, being migrated) Next.js application with API routes (the payments module you'll be refactoring lives here today) Shared Prisma schema with the new platform Active development continues on both repos simultaneously during migration Requirements Non negotiable 7+ years of professional software engineering experience, with at least 3 years in backend systems handling real financial transactions (payments, billing, ledger, or treasury) Deep TypeScript/Node.js expertise. You should be able to design a NestJS microservice from scratch, not just work in one. Production experience with payment gateway integrations (M Pesa, Stripe, Adyen, or similar). You understand STK push flows, webhook idempotency, callback signature verification, and reconciliation. Strong PostgreSQL skills. You can design schemas for financial data, write migrations, and reason about transaction isolation and locking. Experience with event driven architectures (Kafka, RabbitMQ, or similar). You understand the difference between request reply and fire and forget patterns and when to use each. You ship. You can take a spec document and turn it into production code without waiting for someone to break it into small tasks. Strong preference Experience in East African fintech or mobile money ecosystems (M Pesa, SasaPay, Airtel Money). Understanding of Kenya's payment infrastructure and regulatory environment. Experience with ISP billing systems, RADIUS protocols, or telecommunications platforms. Experience with Prisma ORM and NestJS specifically. Production experience with multi tenant SaaS platforms (provider scoped data, API key auth, webhook delivery). Track record of migrating monolithic systems to microservices while keeping production running. AI augmented engineering (required mindset) We expect every engineer at Share to use AI tools as a daily part of their workflow. This is not optional and not aspirational - it is how we operate. Our entire project planning, specification, and documentation process runs through AI assisted sessions. Our codebase includes AI readable context files. We use Claude for architecture decisions, code review, spec generation, and technical writing. What this means for you: You already use AI coding assistants (Claude, Cursor, Copilot, or similar) daily and can articulate how they change your workflow - not just autocomplete, but architectural reasoning, spec review, and debugging. You are comfortable working with AI generated specifications and can critically evaluate them, push back where they are wrong, and extend them where they are incomplete. You see AI as a force multiplier that lets a small team operate at the capacity of a much larger one. You are not threatened by it; you are faster because of it. You are willing to contribute to improving our AI assisted workflows - better prompts, better context files, better session structures. What we offer A seat at the table while we build the technical backbone of Africa's next generation internet - the decisions you make here will be visible in how entire ISP partners run their networks. Competitive salary and meaningful equity in a mission driven, investor backed company (US incorporated; Kenya operating entity). Private health and wellness benefits - we'll walk through these during the process. A high ownership environment with a steep but well supported learning curve, and a team that writes things down.

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.

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

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.

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

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

United States Digital Space LLC is seeking an experienced Tech Lead to drive development and architecture in our London office. Join a vibrant team to shape our product's future using cutting-edge technologies. This role offers the opportunity to lead engineering initiatives while collaborating closely with talented engineers, product managers, and designers. We're proud of our supportive culture that encourages ownership and flexibility, allowing you to thrive in a dynamic environment.

Job Description We are seeking a Senior Software Engineer II to collaborate with our Regional Europe & UK team, driving data driven and innovative growth decisions and leading the team in delivering value to our customers by developing the product within Europe. Responsibilities Design, build, and maintain high performance, scalable tools and services utilizing Java, Kotlin, Spring Boot, cloud technologies, etc. Build account level features such as tax payments or savings account products for European markets. Collaborate with product managers to develop business requirements and translate them into technical solutions. Mentor junior engineers, offer technical guidance, and conduct code reviews. Drive architectural decisions and technical strategy for the Regional Expansion Tribe. Contribute to engineering culture through knowledge sharing and best practices. Work with product team on customer interviews, gather quantitative and qualitative data, and build solutions based on insights. Document and present data driven results to product stakeholders, explaining and proposing strategies that align with risk appetite and business objectives. Qualifications Knowledge of Java and Spring Boot. Experience with asynchronous messaging systems such as Kafka. Experience with relational databases, SQL query optimization, and schema design. A strong product mindset, prioritizing customer needs and making data driven decisions. Strong sense of ownership and excellent communication skills to drive cross team projects. Ability to work independently and as a collaborative team player. Ability to break down complex projects into incremental milestones delivering customer value. Experience with common design and architectural patterns and passion for writing clean, performant, well tested code. Curiosity and drive for continuous learning and improvement. Adherence to and advocacy for best coding practices, continuous delivery, and code reviews. Proven track record of leading technical initiatives and mentoring other engineers. Benefits Starting salary: £111,000 - £145,000 + RSUs Company benefits Hybrid work options Engineering career map and resources Tech stack information (2025 update) Opportunities within London office We are committed to diversity, equity, and inclusion.

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.

SLAMcore in London is seeking a Senior Software Engineer to lead projects across multiple Engineering teams. This role requires over 10 years of software engineering experience and involves addressing backend challenges while collaborating with a large team of engineers. The ideal candidate will possess strong leadership skills and a background in enterprise-grade SaaS products. The position offers a hybrid work model, competitive salary, and stock options.

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

Sole Software Tester - Solihull - Software House - ISTQB Location: West Midlands Industry: IT Salary: £30000 - £35000 per annum + Pension, 25 days, Bonus Posted: 06/01/2016 Description Test Analyst, Software Tester, Systems Tester, Test Engineer, Agile, Quality Assurance, V Model, ISEB, ISTQB, Waterfall, Manual, Test, Black Box/White Box, Test Case Design - West Midlands 30-35K Are you a Senior Software Tester? Do you have the ability to go into a company and be their first ever tester? Are you ISEB/ITSQB? ROLE: An international company are looking to recruit a new Senior Software Tester to join their software development team. You will be given responsibility to develop and improve the current testing procedures and methods, utilising both manual and automated testing methodologies (no previous automated testing experience required - but a nice to have.) Working closely with the software engineers you will ensure the highest standard of software quality through methodical and systematic testing of enhancements and bug fixes at the earliest possible stage in the development process. The skills required for the role as the Senior Software Tester are: Define Testing approach Modify test cases ISTQB or ISEB qualified Execution of tests scripts Gathering, Reporting and monitoring test metrics and defect analysis Regression and Performance testing The company pride themselves on their great working environment that is simulating and professional. You will be working alongside talented and bright employees that will help you in your career progression. SALARY & BENEFITS: The salary on offer is £30-35K, cross training into automation, bonus, 25 days holidays, pension plan etc. The office is based in the West Midands, easily commutable from Solihull, Birmingham and Wolverhampton - free parking but accessible by public transport. Candidates of all ages and backgrounds will be considered for this Job. Ascent People LTD is acting as an employment agency in respect to this vacancy.