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JOB DESCRIPTION Join us to shape the future of payments technology and make a real impact on your career. As part of our agile team, you'll help build trusted solutions that power global transactions. You'll have the opportunity to grow your skills, collaborate with talented colleagues, and contribute to a culture of inclusion and respect. We value creativity, technical excellence, and your unique perspective. Discover how you can push the limits of what's possible with us. As a Lead Software Engineer in Wholesale Payments, FX Payments Tech, you will play a pivotal role in designing and delivering secure, scalable technology products. You will work closely with cross-functional teams to drive critical solutions that support our business objectives. You'll lead technical initiatives, foster innovation, and help shape our team's culture. Your expertise will enable us to build reliable systems that meet the evolving needs of our clients. You will be empowered to make a difference every day. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting Develop secure, high-quality production code and review and debug code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive outcomes-oriented probing for applicability within existing systems and information architecture Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Bachelor's or Master's degree in computer science Hands-on practical experience in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages Proficiency in automation and continuous delivery methodsSkilled in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience with Java 21 Familiarity with Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Lead Data Engineer - London London Hybrid - Monday to Thursday in the office. Friday work from home. Salary: £85,000-£95,000 dependent on experience. Ref J13147 Build the function. Lead the team. Stay hands on. Join a fast-growing AI SaaS business where Data Engineering sits at the heart of the platform. This is an opportunity to join at a pivotal stage of the company's growth. As Lead Data Engineer, you'll shape and scale the Data Engineering function, define engineering standards and build a high performing team, while remaining hands on with the technology that powers innovative AI products. As the business continues to grow, the vision is for this role to evolve into the leadership position responsible for the wider Data Engineering function, making it an excellent opportunity for someone who enjoys leading from the front and wants to grow their career without stepping away from technology. What you'll be doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers Why join? Build and shape a Data Engineering function from the ground up, with the opportunity to grow into the future Head of Data Engineering as the team expands. Stay technically hands on while leading a high performing team Work on innovative AI and data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology, we want to hear from you.

Barlowe LLP is looking for an experienced Infrastructure Architect to join their Platform and Solution Architecture team. This role involves owning the infrastructure roadmap and defining standards across hybrid environments, impacting operational efficiency and competitive advantage. The ideal candidate has extensive experience with virtualization, container platforms, and public cloud technologies while leading architecture efforts that influence engineering teams. Benefits include a competitive salary, 30 days of annual leave, and additional perks.

Barlowe LLP is seeking an Observability Engineer to join our London office. You will manage telemetry backends, ensuring seamless observability for developers and platform teams. The role involves building scalable telemetry pipelines and maintaining OpenTelemetry. The ideal candidate will have a strong background in observability, experience with public cloud infrastructure, and proficiency in Kubernetes. Enjoy a competitive salary, comprehensive benefits, and a positive work environment.

the company is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Designing and implementing a high-frequency trading platform for cryptocurrency markets, which includes collecting quotes and trades from and disseminating orders to exchanges around the world Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency Analyzing system throughput and latency performance and building performance-tracking tools Developing systems that provide easy access to historical market data and trading simulations Qualifications A degree in computer science or a related field At least 5-7 years of experience in a software engineering role A strong background in data structures, algorithms, and object-oriented programming in C++ Brilliant problem-solving abilities The ability to manage multiple tasks in a fast-paced environment Strong communication skills Good understanding of Linux operating system and Networking (TCP/IP and UDP) is a plus Knowledge of Python and shell scripts is a plus Familiarity with cryptocurrency markets, exchange APIs (WebSocket/HTTP), and cloud technologies is a significant plus Individuals in this role will have a range of experience and will have the opportunity to cover a broad spectrum of hands on development projects; the right person could range from a mid-level engineer that is looking to start their career at the company, to an experienced professional that is looking to make significant contributions to our global trading platform. Experience in financial and crypto markets is a plus, but not required. Benefits Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together. the company is an equal opportunity employer.

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence

About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a Remote AI Backend / Full-Stack Engineer with strong Python and modern web development experience to help build and scale an AI-powered travel planning platform. You will work closely with the product and engineering teams to develop backend services, build APIs, and contribute to frontend features. This role requires a developer who can write clean, scalable code, collaborate through GitHub pull requests, and contribute to sprint planning in an agile environment. The ideal candidate is comfortable working in a startup environment, takes ownership of deliverables, and is passionate about building high-quality AI-driven applications. Key Responsibilities Develop and maintain backend services using Python and FastAPI Build and optimize APIs that power AI-driven travel planning features Collaborate with engineers through high-quality GitHub pull requests and code reviews Contribute to sprint planning and agile development cycles Work on frontend components using React Integrate backend systems with MongoDB databases and AWS infrastructure Ensure code follows clean architecture principles and coding standards Improve system performance, reliability, and scalability Collaborate with AI and product teams to implement new platform capabilities Strong English communication skills Strong experience with Python backend development Experience building APIs using FastAPI or similar frameworks Familiarity with React for frontend development Experience working with MongoDB Experience using GitHub for version control, pull requests, and collaborative development Understanding of cloud infrastructure (AWS or similar platforms) Ability to contribute effectively to sprint planning and agile workflows Nice to Haves Experience working with AI-assisted development tools (e.g., Claude Code) Strong understanding of software architecture and scalable system design Ability to write high-quality, maintainable, and well-structured code Experience working in fast-paced startup environments Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals

Zayo Group Holdings, Inc. is looking for a highly capable Solution Engineer to join their London team. In this senior role, you will significantly influence customer outcomes and technical strategy across the UK and mainland Europe. You will lead technical discovery, design end-to-end network solutions, and collaborate with various teams to ensure design accuracy. A hybrid working model is offered, typically requiring attendance in the office two to three days per week.

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.

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

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 looking for a Specialist for a Java & CloudNative role with 5 to 7 years of experience focusing on investment banking. Responsibilities include designing and developing scalable applications, utilizing multithreading algorithms, and collaborating with DevOps teams. The successful candidate will lead development initiatives, mentor junior developers, and ensure adherence to security compliance standards in application development. This role is based in London with 3 days from the office.

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.

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 Software Developer, you will collaborate with a team of exceptionally skilled professionals dedicated to the development, enhancement and support of our cutting edge Sports Trading Platform. Working within the trading and tools team, you will develop a diverse range of applications, including desktop solutions such as WPF & WinForms, backend services such as .NET & Golang, and SQL Server stored procedures. Your contribution will be vital in delivering real time data through our innovative trading platform. This will empower the trading department to create, configure and trade both sporting and non sporting events, enabling customers to place bets on a vast array of outcomes. Our technology stack features C#.NET, SQL Server, and Golang, with in house training provided to further enhance your skills and this role presents exciting challenges in a hardworking, delivery focused environment. We are looking for individuals with a diverse range of technical skills who are prepared to address the most pressing challenges in technology and support our growth in emerging markets worldwide. This role is eligible for inclusion in the Company's hybrid working from home policy. Qualifications Proven expertise in Commercial C# and MS SQL Server. In-depth knowledge of Windows applications and Microservices architecture. Experience of WPF is desirable. Knowledge or experience of Kafka. Knowledge or experience of web or cloud technologies. Experience using Git version control. Experience with Linux. Experience with handling data from external providers. Excellent communication skills, both verbal and written. A strong team player with good problem solving skills. Additional Information Developing and supporting highly efficient, robust, and quality code for applications and services. Maintaining clean coding practices. Enhancing and supporting existing trading functions. Supporting Product Owners as needed. Supporting the testing team during project phases. Contributing to innovative solution proposals. Identifying technical areas for improvement. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out.