7287 jobs found

Job Summary We are seeking a highly skilled and experienced Chief Architect (dpISA) to guide our architecture R&D activities. This is a senior level position for a subject matter expert in Arm ISA, or equivalent ISAs such as Power, MIPS or X86. The ideal candidate will possess a deep technical understanding and proven experience in the research, design, and development of ISAs, with a particular emphasis on memory architecture, security architecture, and data processing ISAs (dpISA). As Chief Architect, you will play a crucial role in driving the innovation and evolution of Arm extensions, collaborating with cross functional teams to research and develop cutting edge technologies for our architecture roadmap. This position requires leadership, technical expertise, and an ability to shape the future of computing through architectural design. Key Responsibilities Lead Architecture Design: Spearhead the design, research, and maintenance of Arm ISA, ensuring alignment with industry leading trends in processing capabilities, security, and memory management. ISA Research & Development: Conduct advanced research on Arm ISAs, tracking and recording new developments, innovations, and trends in the field. Memory & Security Architecture: Design and optimize advanced memory and security architectures, ensuring scalability, efficiency, and performance across various workloads. dpISA Expertise: Lead the development of data processing ISAs (dpISA) such as SVE (Scalable Vector Extension), SME (Scalable Matrix Extension), SSE (Streaming SIMD Extensions), AVX10, etc., optimizing and deploying them for modern computing needs. Collaboration: Work closely with engineering, product management, and cross disciplinary teams to integrate new architectural components and align designs with product needs. Innovation & Thought Leadership: Stay at the forefront of technology trends, bringing innovative ideas to architecture development and guiding the team in exploring and adopting the latest advancements in the field. Mentorship & Leadership: Lead a team of researchers and engineers, mentoring junior members and fostering a collaborative environment that encourages creativity, technical growth, and problem solving. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Qualifications Educational Background: A degree at university level or above in Computer Science, Electrical Engineering, or a related fields, or equivalent practical experience. Expertise in Arm Architecture or Equivalent ISAs: Extensive experience with Arm Instruction Set Architecture or other equivalent ISAs such as MIPS, Power or X86 (not RISC V). In depth knowledge of architecture specifications, design methodologies, and performance evaluation and optimization techniques. ISA Research & Development: Proven track record of research and development in ISAs, including maintaining and evolving architectural designs over time. Memory & Security Architecture Design: Strong experience in designing memory systems and security mechanisms, with a focus on scalability, performance, and reliability. dpISA Design Experience: Hands on experience designing and optimizing data processing ISAs, such as SVE/SME, SSE, AVX10, or similar data processing instruction sets for high performance computing. Leadership & Mentorship: Experience in leading and mentoring high performing technical teams, providing guidance and fostering innovation in architectural research and development. Problem Solving & Innovation: Strong analytical and problem solving skills with the ability to create and implement innovative solutions to complex architectural challenges. Communication: Excellent communication skills, with the ability to present complex technical concepts to both technical and non technical stakeholders. Preferred Skills Familiarity with advanced processor designs and architectures beyond traditional RISC and CISC approaches. Experience in the development of specialized architecture for cloud computing, edge computing, or embedded systems. Contributions to open source or industry standard architecture research projects. Experience working in multi disciplinary teams and collaborating on large scale, cross functional projects. Why Join Us Impact: Play a key role in advancing the future of Arm architecture and influencing the computing industry. Innovation: Work with cutting edge technologies and shape the evolution of architecture for a wide range of applications. Growth: Opportunity for personal and professional growth as a leader in architecture research and development. Collaboration: Be part of a dynamic and highly collaborative team, where your expertise and contributions will drive innovation. If you are a visionary leader with deep expertise in Arm or equivalent ISAs, and you're excited to drive the next generation of architectural designs, we would love to hear from you. What we offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development

About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!

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.

Our mission Scope is revolutionising the way physical data is captured. We're building the best AI-native data collection layer for the 2 billion field workers on the front line of inspection. Along the way, we're building the world's largest dataset on the condition of the built world and the decisions experts make about it. It's a $2T market and we're just getting started. We have grown revenue 10x in the last year and on track to reach 10M ARR in 2026. Our customers inspect facilities and products for companies including AstraZeneca and SpaceX. We've assembled a best-in-class team: people from institutions like Imperial, Carnegie Mellon and Oxford, and from firms like Goldman Sachs, Flexport and Amazon. Since launching from Entrepreneurs First in 2024, we've raised $24m in funding from Susa Ventures and Index Ventures (backers of Figma, Revolut and Wiz - 100+ unicorns to date). About the role As a Technical Lead, you will be a core driver of both our technology and our product strategy. You won't just be handed tickets; you will own an entire product and domain area end to end. You will act as a force multiplier shaping our technical architecture, connecting it tightly to our business goals, and aligning multiple engineers around a coherent vision. We're looking for an exceptional technical leader who wants to invent what inspection software should look like in a post-AI world. What you'll do Drive Technical Evolution: Own the long term technical strategy of your domain. You will define how our systems should evolve over time, identifying and resolving structural limitations long before they impact production. Simplify Complex Systems: Design systems that solve incredibly complex backend and AI challenges but remain simple, adaptable, and widely understood by the team. You will ruthlessly remove accidental complexity across the codebase. Bridge Architecture & Strategy: Connect our technical architecture directly to Scope's product and business goals. You will balance ideal architecture with real world startup constraints exceptionally well. Coach and Mentor: Actively mentor and grow the engineers around you, upleveling the team's technical capabilities, fostering a culture of high craftsmanship, and guiding peers through complex technical challenges. Multiply the Team's Impact: Align multiple engineers around a coherent technical direction. You will introduce design patterns and technical defaults that up level the entire engineering organisation. Own a Product Domain: Act as the strategic owner of a core product area, making it a competitive advantage for Scope. You'll build a deep, continuous intuition for our users, understanding their workflows better than anyone else. Build for the Future: Think in compounding strategies rather than isolated features. You will anticipate the second order effects of architectural decisions to ensure our systems are built to be easily changed, not just correct today. Who you are We believe great teams are made up of highly agentic "managers of one." You should apply if you are deeply technical, love staying close to the code, and thrive when given absolute ownership of problems. Experienced: You have 7+ years of experience (with a track record of leading technical direction) and have built up enough scar tissue to inherently know which technical decisions matter and which don't. Product Minded: You care deeply about metrics, users, and data. You don't just build what is asked; you define what matters in a domain and set meaningful metrics to measure success. A Natural Leader: You lead by example and through influence. You enjoy mentoring other engineers, driving alignment on complex architectural shifts, and shipping high-quality results. AI & Data Enthusiast: You are excited to engineer how we feed context to AI models (storing, fetching, and selecting standards) and want to design how unstructured data seamlessly flows through a reliable, enterprise-grade system. Compensation and benefits Competitive base salary (benchmarked against top Series A startups) + meaningful equity Visa sponsorship available - We welcome top talent globally and will support the visa process Dinners + team lunch on Fridays paid for by Scope Top tier equipment, software, and tools to give you maximum leverage Private Healthcare

Client360 is one of JPMorgan Chase Commercial & Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale. As a Research and Development Lead you will spearhead the exploration and development of innovative data solutions and processes for Client360. Your role involves piloting and implementing cutting edge solutions that expand Client360 capabilities, improve client experience, and drive operational performance. You will be responsible for identifying emerging trends, evaluating new tools, and fostering a culture of experimentation within the organization. Within Data, Digital and AI, you will manage the planning and execution of R&D initiatives, working closely with cross functional teams to deliver measurable business outcomes. By championing innovation, supporting compliance, and integrating insights from various sources, you will help advance CRM transformation across multiple lines of business, enabling enterprise wide change and supporting long term growth. Job Responsibilities Manages the delivery and optimization of research and development initiatives for Client360, ensuring alignment with CIB wide goals and organizational objectives. Participates in the planning, execution, and risk management of R&D programs, including frameworks for experimentation, technology evaluation, and operational efficiency. Supports R&D initiatives, adapting to evolving business needs and managing risks to achieve objectives. Coaches and mentors junior team members on best practices in research, solution generation, stakeholder engagement, and change management, enabling effective delivery of objectives. Monitors R&D performance and supports enhancements to achieve business outcomes and improve user satisfaction. Collaborates with engineering, operations, and business teams to evaluate, pilot, and implement new technologies and processes, ensuring scalability, reliability, and user centricity. Helps define the innovation experience for Client360, focusing on process optimization, data driven insights, and stakeholder satisfaction. Assists in establishing and monitoring key performance indicators, ensuring R&D initiatives deliver measurable business value and support long term strategic goals. Leverages analytics and emerging technologies to help derive actionable insights from integrated data and third party sources, supporting comprehensive client profiles and improved decision making. Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of innovative solutions. Utilizes R&D initiatives to deliver personalized client experiences, streamline operations, and enhance decision making, while supporting regulatory compliance and risk management. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise delivering research and development initiatives, business projects, or transformation programs. Strong knowledge of R&D processes, business process improvement, strategic planning, and data analytics. Demonstrated ability to support adoption of key R&D lifecycle activities including discovery, ideation, development, requirements definition, and value management. Experience supporting change within organizations and managing stakeholders across multiple functions. Track record of contributing to large scale R&D, technology integration, or analytics projects. Good understanding of technology evaluation, data governance, regulatory compliance, and operational risk management. Excellent problem solving skills and strategic thinking about R&D initiatives and their impact on organizational objectives. Strong communication and interpersonal skills, with the ability to articulate and present complex research concepts and insights to both technical and non technical audiences. Experience with emerging technologies and best practices in research, business analytics, and CRM. Experience with emerging technologies and best practices in business analytics and CRM. Experience in research and development, technology evaluation, business process management, CRM systems, or related fields within a financial institution. Bachelor's degree in Business, Data Science, Engineering, or a related field. Experience in ensuring customers and stakeholders are engaged and positive about the solutions delivered. 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.

Lead Data Engineer (Azure Databricks Fabric PySpark SQL) Permanent Hybrid UK Public Sector Project Overview We are seeking a hands on Lead Data Engineer to join a growing Data & Analytics practice. This role focuses on designing, building, optimising, and maintaining enterprise level data solutions. You will work across the full data lifecycle, delivering scalable, high performance solutions using Azure and tools such as Databricks and Fabric. Who We're Looking For A strong Data Engineer with deep technical expertise in Azure, Databricks and Fabric, who enjoys working in a collaborative, client facing environment and thrives at designing and delivering enterprise level data solutions, spanning initial requirements gathering, proof of concept development, architecture planning, deployment and delivery. Key Responsibilities Develop solutions using Azure Databricks and/or Fabric Implement Medallion Architecture (Bronze, Silver, Gold) Develop data warehouse and lakehouse solutions Support BI, analytics, and AI workloads Optimise performance, cost, and reliability Collaborate with technical and functional stakeholders Mandatory Requirements Proven ability to make both high level strategic and day to day operational decisions with confidence Strong leadership and interpersonal skills, with a track record of motivating and influencing stakeholders at all levels Sharp analytical mindset with the ability to proactively spot emerging opportunities and resolve challenges before they escape Strong hands on experience with Azure Databricks and Fabric Strong SQL and data warehousing expertise Experience with data modelling Experience with Databricks AI/BI or Power BI Experience with CI/CD and DevOps practices Desirable Experience in consulting / professional services Exposure to AI and advanced analytics solutions Exposure to Agentic AI systems built on top of Large Language Models Experience with real time / streaming data Experience with Infrastructure as Code (Terraform or Bicep) Experience in regulated industries Passionate about staying at the forefront of industry developments, with a habit of actively monitoring emerging trends, tools, and technologies Databricks/Microsoft Azure certifications Soft Skills Strong problem solving skills Collaborative and team oriented mindset Clear communication and documentation skills Ability to work in fast paced delivery environments Contract Details Role Type: Permanent & Hybrid (2 days per week) Location: Guildford Clearance: Candidates must be eligible for UK Security Clearance (SC) or active SC

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

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.

Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting edge solutions empower businesses- from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco friendly practices in state of the art, geo diverse facilities. Tether Data Fueling breakthroughs in AI and peer to peer technology, we reduce infrastructure costs and enhance global communications with cutting edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI driven initiatives powered by QVAC, Tether's SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy preserving architectures). Support Expansion team in shaping AI related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end to end coordination of QVAC based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast evolving, early stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: Verify the recruiter's identity. All our recruiters have verified LinkedIn profiles. If you're unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double check email addresses. All communication from us will come from emails ending We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

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

At the company, we're taking a revolutionary approach to computing to run the world's largest language models at scale. Building silicon, systems and software that redefine the frontier of AI only matters if developers can actually get their models running on it quickly and predictably, which is where you come in. We're looking for Developer Experience Engineers to build the tooling and workflows that companies will use to optimise their large language models onto our next-generation inference hardware. In this role, you will: Design and build the tools that customers use to run, optimise, and monitor large language models on the company hardware. Build the interfaces to existing diagnostic, profiling, and observability tools that let developers understand performance profiles, debug issues, and optimise their deployments. Write the documentation, quickstarts, reference examples, and tutorials that define a developer's first and lasting impression of our platform. Act as the voice of the external developer inside the company - turning real deployment pain into roadmap priorities. Work in a tight hardware-software co-design loop with ML compiler, runtime, systems software, and silicon engineers to shape APIs and abstractions before they ossify. It would be great if you have: Strong software engineering fundamentals and experience building developer-facing tooling, SDKs, APIs, or platforms that other engineers depend on. Excellent Python skills, with solid experience of one or more systems languages such as Rust, C++, or Go. A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. Empathy for the developer experience - you instinctively reduce the number of steps, surprises, and footguns between a user and a working result. A creative and innovative mindset, and a willingness to take ownership and drive results in a fast paced environment. A Computer Science, Electronic Engineering, Maths, Physics, or related degree and 5+ years of industry experience. You may also have: Experience with inference serving stacks (vLLM, SGLang, TensorRT-LLM, Triton) or ML compiler and runtime toolchains. Experience working with GPUs, TPUs, or other machine learning accelerators. A track record of contributing to or maintaining open source developer tools or ML ecosystem projects. Experience writing technical documentation and developer education content. Previous experience in a startup or small team environment. How we work Ownership and execution: you will have full agency to drive your work forward. Hyrid: Three days per week working on site Rapid iteration: we all work directly with top leadership to move from idea to product on ambitious timelines. Full stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact. Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there. Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter whose it is. About us Founded in 2022, with a team of 100+ that is expanding rapidly. Modern, open offices in London and Bristol. A collaborative, problem solving culture built on deep curiosity, entrepreneurial initiative and technical fluency. Export control and security clearance Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

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

Job Description Build what's next in applied AI at the company - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Identify hidden problems and patterns in data proactively to improve coding standards and system architecture Participate in software engineering communities of practice and events focused on emerging technologies Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Strong understanding of the Software Development Life Cycle Solid grasp of CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent to agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development. 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.

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.

Location - Leeds/Dublin/London. Hybrid. Permanent. About the Role In Flutter COO we work with experts across Flutter to build, deploy and communicate the Flutter Edge. We cover Product&Payments, Technology, Sportsbook Product&Trading, People, Property, Corporate Communications and Strategic Partnerships&Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter's applications across Gaming and Sportsbook. The role is focused on execution and solutions delivery - building scalable, high performance data platforms that enable real time and batch data processing at scale. Responsibilities Drive platform capability improvements - continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best in class capabilities. Enable application data consumption - understand how applications produce and consume data, designing solutions that enable efficient data access patterns, real time streaming, and batch processing for application needs. Architect data streaming solutions - design and implement real time data streaming architectures using Kafka and Pulsar, ensuring low latency data delivery to downstream applications and services. Design distributed data structures - work with engineering teams to design effective data structures for distributed systems like Cassandra, optimizing for read/write patterns, scalability, and performance. Deliver cloud native data solutions - architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring - mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions and grow their technical capabilities. Develop executable roadmaps - create pragmatic technology roadmaps that deliver near term business value while progressing toward target state architectures for distributed data platforms. Partner with engineering teams - build strong relationships with engineering teams across Gaming and Sportsbook, understanding their data needs and translating them into scalable platform solutions. Design solutions for projects - deliver ADRs, data models, technical designs, and assessments to support delivery of business goals, working with engineering teams to bring solutions to life. Influence technical strategy - shape the technical direction of data platforms, considering future application requirements and emerging technologies in distributed systems and data streaming. Manage technology risk - identify, communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations. Ensure operational excellence - design solutions with security, cost optimisation, performance, regulatory requirements, and compliance in mind. Contribute to architecture governance - support architecture forums and governance processes, ensuring timely review and alignment across Flutter. Requirements Distributed data platforms expertise - extensive experience designing and implementing distributed data platforms at scale, with deep understanding of distributed systems principles and trade offs. Data streaming architecture - proven track record architecting and implementing real time / low latency data streaming platforms including patterns for event driven architectures. OLTP, NoSQL and distributed databases - experience with Cassandra or similar distributed databases, understanding data structures, partitioning strategies, consistency models, and performance optimisation, as well as OLTP databases such as PostgreSQL and MySQL. Distributed compute frameworks - strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large scale batch/streaming workloads. Cloud native data platforms - demonstrated experience with any Cloud Providers such as AWS, GCP, Azure, including Databricks. Application aware data architecture - strong understanding of how applications produce and consume data, designing platforms that serve application needs efficiently across real time and batch use cases. Large scale platform delivery - track record of delivering large scale data platforms for high volume B2C software businesses, preferably in Gaming, Sportsbook, or similar real time domains. Data transformation experience - demonstrated experience contributing to data modernisation and migration initiatives and ability to drive a data first approach within the organisation. Solutions delivery focus - proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life. ML/AI platform enablement - demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving patterns, and data platforms that enable ML at scale. Regulatory & compliance experience - designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements. Benefits Bonus scheme Uncapped holiday allowance Enhanced pension scheme Private healthcare Life assurance Income protection £1,000 annual self development learning fund Invest via the Flutters Sharesave Scheme Enhanced parental leave