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JOB DESCRIPTION Are you ready to make a difference and shape the future of technology? At the company, you'll be part of a dynamic team that thrives on innovation and collaboration. You'll have the opportunity to grow your career, expand your skills, and work on projects that matter. We value your expertise and encourage you to push boundaries as you help deliver market-leading products. Experience a culture that celebrates diversity, inclusion, and respect. As a Senior Lead Software Engineer in the PTT team, you will play a pivotal role in enhancing, building, and delivering trusted technology products in a secure, stable, and scalable way. You will leverage your deep technical expertise and problem-solving skills to address challenges across multiple technologies and applications. You will help shape the team culture, drive business impact, and contribute to our engineering community. Your work will influence product design, application functionality, and technical operations. Job Responsibilities Provide technical guidance and direction to support business and technical teams, contractors, and vendors Develop secure, high-quality production code and review and debug code written by others Drive decisions that influence product design, application functionality, and technical operations Serve as a subject matter expert in one or more areas of focus Advocate firmwide frameworks, tools, and practices of the Software Development Life Cycle Influence peers and project decision-makers to adopt leading-edge technologies Contribute to a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts Hands on experience in system design, application development, testing, and operational stability Advanced working experience with Java, Spring Boot, React, and Kubernetes Proficiency in automation and continuous delivery methods Skilled 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 and Oracle Familiarity with messaging platforms such as RMQ and Kafka Expertise in Kubernetes Proficiency in ReactJS and JavaScript Functional knowledge of FX or Dervis Settlements domain 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.

Xe is a cross-border payments platform. We help SMEs and consumers in the US, UK, Canada, Australia, and New Zealand collect, convert, hold, and send money across markets. Each year, over 300 million people use Xe for currency information and over 350,000 use us to send money overseas. Today, we're rebuilding the platform layer behind cross-border payments for corporate and consumer clients. We're small enough that your code ships fast and your decisions matter, and Euronet Worldwide (Nasdaq: EEFT) backs us so the problems stay real-scale. About This Role We're hiring a senior back-end engineer who owns real problems end-to-end and shapes how the team builds, from API design and data modeling through to service implementation, production reliability, and launch. You already use AI as part of how you think, build, test, and ship. You'll write code that moves money in production, design and modernize the backend services the platform runs on, and lead delivery of new capability as Xe rebuilds its platform layer. You'll work in a small team with direct access to product, compliance, and operations, own architecture in your domain, lead design reviews, mentor mid-level engineers, and partner with architects and team leads on cross-domain decisions. What You'll Do Design and own backend services that move money and manage multi-currency balances across a range of domains, including onboarding, KYC and KYB, payment initiation, FX, settlement, and other supporting services. Lead cross functional delivery with product, compliance, and operations from problem framing through launch. Lead the build of the partner integrations and settlement infrastructure your domain depends on. Own production health for your domain, including reliability, observability, on call, and incident response. Lead design reviews, set technical direction for your domain, and mentor mid-level engineers. Use agentic coding tools (Copilot, Cursor, Claude Code, or equivalent) daily across the SDLC, and lead modernization from legacy services into the modern stack alongside architects and team leads in your domain. What We're Looking For Must have 6 to 10+ years building production backend services, end to end. Strong backend proficiency in C# / .NET preferred; other OOP languages welcome (Java, Kotlin, Go, or equivalent). SQL and relational database fundamentals. Writing and maintaining tests. Daily use of agentic coding tools (Copilot, Cursor, Claude Code, or equivalent) across the SDLC. Production experience with AWS, including hands on deployment, CI/CD pipelines and modern deployment practices, and native services such as SQS, DynamoDB, S3, ECS, and Lambda. Strong system design and architecture experience, including service oriented or microservices and event driven patterns. Payments, FX, or regulated industry experience. Track record of technical leadership: mentoring engineers, leading design reviews, and making architecture decisions in your domain. Strong written and verbal communication. Nice to have Experience with ledgers, double entry accounting, or other financial data systems. Experience hiring, interviewing, or onboarding engineers. Experience leading modernization or platform migrations. Experience with caching solutions like Memcached or Redis. Experience using project management and documentation tools like Jira and Confluence. Knowledge of API testing tools such as Postman or Bruno. Writing automated tests alongside development with AI tools (Claude Code or equivalent). Perks & Benefits Competitive Salary & Discretionary Bonus 23 days annual leave increasing with service (capped at 28 days) Paid day off for your Birthday 4% employer pension contribution Discounted Euronet ESPP Life Cover, Income Protection & Critical Illness cover Healthcare Plumm Mental Health and Wellbeing Volunteering day for a charity of your choice We want Xe to be a great place to work and to ensure that our communities are represented across our workforce. A vital part of this is ensuring we are a truly inclusive organization that encourages diversity in all respects. Xe is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment regardless of age, national origin, race, color, disability, religion, sexual orientation, gender identity or expression, or any other characteristic protected under applicable law. We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, you may contact us at . The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company's right to assign or reassign duties and responsibilities to this job as needed.

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models

Cloud Operations Engineer Overview At Mimecast, we operate at scale-protecting billions of emails daily across a global hybrid-cloud infrastructure. If you're passionate about reliability, automation, and solving complex challenges in mission-critical environments, this is the opportunity for you. Why Join Us "This is a hands-on role in a team responsible for ensuring Mimecast's Hybrid Cloud infrastructure remains secure, resilient, and scalable. You'll work with cutting-edge technologies like Kubernetes, AWS, and Infrastructure-as-Code, all while collaborating with a supportive and talented team. If you're excited about making a real impact and growing your career in our Cloud Platform Team, I'd love to hear from you." - Hiring Manager, Cloud Platform AI-First Engineering at Mimecast Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, from code development to testing, documentation, and operations. We're looking for leaders who don't just use AI tools but champion their adoption and establish new ways of working. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as "Agents of Change" in Human Risk Management. Engineers here work at the intersection of cutting-edge AI tooling and AI-powered security products that protect organizations worldwide. What You'll Do: Ensure platform reliability : Configure and maintain infrastructure to ensure optimal performance, security, and availability. Manage containerization platforms : Operate and improve Kubernetes and AWS EKS to support Mimecast's microservices architecture. Automate infrastructure : Build reusable Infrastructure-as-Code (IaC) and automation to standardize infrastructure provisioning and deployment processes. Troubleshoot and resolve issues : Identify and resolve infrastructure issues across Linux and Kubernetes systems in a hybrid-cloud environment, minimizing downtime. Enhance security : Strengthen the security posture of infrastructure configurations, aligning with the latest cybersecurity standards. Improve processes : Collaborate with the team to continuously refine operational processes and documentation. Maintain observability tools : Manage and operate monitoring and observability tools like Graphite, Prometheus, Grafana, Elastic, Nagios, and LogScale. Support engineering teams : Provide exceptional support to internal Product and Engineering teams, meeting their requirements for the Mimecast Cloud Platform. Participate in on-call rotations : Support the team by participating in on-call rotations and performing out-of-hours maintenance as necessary. What You'll Bring: Technical expertise : Experience in roles such as Site Reliability Engineer (SRE), Platform Engineer, Cloud Operations, or Sys Admin. Kubernetes proficiency : Strong hands-on experience with Kubernetes (k8s) and containerization in production environments. Linux expertise : Proficiency in maintaining and troubleshooting Linux operating systems and distributed systems at scale. Infrastructure knowledge : Solid understanding of core infrastructure services such as DNS, Identity Management, load balancers, and web servers. Networking basics : Foundational knowledge of computer networking. IaC and scripting : Experience with Infrastructure-as-Code tools like Terraform/CloudFormation and configuration management tools like Puppet. Proficiency in at least one programming or scripting language. Proactive problem-solver : A proactive attitude with a willingness to take on new challenges, deliver results, and learn new technologies quickly. Collaboration skills : Outstanding communication and social skills, with the ability to connect with others and problem-solve effectively. Why This Role: Global impact : Join a cybersecurity company operating at genuine global scale, protecting organizations and their people. Engineering excellence : Be part of a Cloud Platform organization that values automation, reliability, and doing things properly. Competitive rewards : Enjoy competitive compensation as part of a broader total rewards package, including benefits and wellbeing programs. Career growth : Access opportunities to develop expertise in hybrid-cloud infrastructure, Kubernetes, and automation, with clear paths to senior engineering roles. Collaborative culture : Work alongside experienced engineers and leaders who invest in your development. Career Growth Opportunities Develop deep expertise in hybrid-cloud infrastructure, Kubernetes, and automation. Build strong Infrastructure-as-Code and automation skills in a production environment that demands them. Grow into senior engineering or team lead roles within Cloud Platform. Work alongside experienced engineers and leaders who are committed to your development. Manager's Working Style & Team's Purpose The Site Reliability Engineering team exists to ensure the reliability and resiliency of Mimecast's Hybrid Cloud infrastructure. The team's purpose is to deliver a platform that is secure, performant, and scalable, enabling Product and Engineering teams to innovate faster and deliver more value to customers. Day-to-day, you'll work in a collaborative environment, tackling complex challenges and contributing to the continuous improvement of Mimecast's infrastructure. The expectation is hands-on technical credibility combined with a proactive approach to problem-solving and teamwork. Join our Cloud Platform team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is £64,000 £96,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course. We're proud to be an Equal Opportunity and Affirmative Action Employer, and we'd encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

About Us In partnership with one of the largest financial conglomerates, we aim to bring the majority of Japanese equities on chain, creating a secure, transparent, and high performance trading infrastructure that can support institutional volumes while remaining accessible to retail participants. We are building a next generation decentralized exchange with a fully on chain order book. Our system is built with a custom state transition function and consensus layer, purpose designed for high performance, low latency trading. The goal is to deliver a trustless platform that matches the speed and efficiency of traditional trading engines while providing full transparency by running execution as close as possible to the blockchain itself. Position Overview We are looking for a Senior Rust Engineer with strong expertise in system architecture and execution engines. You will be responsible for designing and implementing the CLOB execution layer, including the order book, matching engine, and blockchain client logic. This role is highly technical and requires end to end ownership of critical components, from architecture to optimization. While you'll primarily collaborate with a remote team of experienced engineers, there will occasionally be opportunities to work onsite during off site sessions to support onboarding and enable more efficient collaboration. Joining at this early stage of development offers a unique opportunity to influence critical technical decisions, achieve career growth, and enjoy competitive compensation. Key Responsibilities Architect and implement the on chain order book and matching engine in Rust. Design and extend exchange specific logic (order execution, risk checks, account/state management). Design and develop protocol level components, such as state transition logic, consensus, validator interaction, and transaction processing pipelines. Implement integration with oracles, bridges, and external data providers, ensuring correctness and resilience in adversarial conditions. Optimize for low latency execution, concurrency, and gas efficiency. Conduct benchmarking and stress testing to identify and address potential performance/throughput bottlenecks. Develop and maintain a comprehensive suite of unit, integration, and end to end tests to ensure code reliability and functionality. Requirements 5+ years of systems programming experience, with 3+ years in Rust. Proven track record building trading platforms, execution engines, or exchanges (DEX or centralized). Contributions to Rust based L1 protocol projects (e.g., Solana, Cosmos SDK, Substrate). Deep understanding of distributed computing principles, including consensus algorithms, peer to peer (P2P) networking, and high performance data structures. Deep knowledge of decentralized trading models (on chain order books, AMMs, hybrid architectures). Ability to design and implement complex, production grade systems independently. Big Bonus Experience with competitive programming or algorithmic problem solving. Expertise in low latency design, concurrency, and performance optimization. Hiring Blog You can find a related interview blog:

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

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

Chromatography Product Applications Specialist Location: Crowborough, East Sussex (Hybrid - minimum three days per week onsite) Salary: £70,000 to £100,000 basic annually plus benefits. Travel: 10% to 15% global travel. Relocation support can be offered where appropriate. Responsibilities Develop and validate new gas chromatographic methods for process applications. Extend measurement ranges and background gas capability across the analyser portfolio. Provide expert application support to R&D, Sales, Service and customers. Design and execute experimental test regimes and validation studies. Support new product development through feasibility studies and performance characterisation. Investigate and resolve complex application and performance challenges. Produce high quality technical documentation, application notes and reports. Collaborate across multidisciplinary teams to align products with customer and market needs. Work in line with company policies, procedures and quality standards. Qualifications Proven experience in process gas chromatography. Strong understanding of GC detectors, column and trap technologies. Demonstrable expertise in method development, validation and optimisation. Experience working with different background gases and complex matrices. Strong analytical thinking, problem solving and data interpretation skills. Experience working within Engineering, R&D or Applications environments. Excellent communication and collaboration skills. Confident user of Microsoft Office tools. Desirable Experience Experience with process analysers and on line GC systems. Knowledge of industrial gas applications and standards. Experience supporting customers or field based application issues. Strong capability in technical reporting and data analysis. Experience working in multidisciplinary teams. Exposure to Lean manufacturing or continuous improvement approaches. Experience facilitating Lean or Six Sigma initiatives. Education & Certifications Essential: BSc (or higher) in Chemistry, Analytical Science, Chemical Engineering or related discipline. Desirable: MSc or PhD in a relevant discipline; Lean Six Sigma Green/Black Belt (or equivalent). Benefits Discretionary Company Bonus. Opportunities for growth & development through our structured Talent Management System. Annual Performance Review. Private Medical Insurance. Personal Pension Plan (up to 10.5% employer contribution). Employee Wellbeing Programme. 25 days' annual leave with option to buy more + Bank Holidays + Company Shutdown Day. Two Volunteering Days. Life Assurance (4 Salary). Professional subscriptions support. Staff Referral Scheme and Long Service Awards. Global Recognition Scheme. Cycle to Work Scheme. Free Parking. EEO Statement We are a Disability Confident Employer, a Mindful Employer, signatories of the Menopause Workplace Pledge and Age Friendly Employer Pledge, and an endorsed employer for women through Work180. We are committed to fair, inclusive recruitment and will make reasonable adjustments throughout the hiring process.

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.

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.

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

Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support

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

JOB DESCRIPTION As a Lead Software Engineer for AI - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job Responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred Qualifications, Capabilities, And Skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration. Equal Employment Opportunity Statement We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Applied Engineer (Tribal Knowledge) Design and own the agent system that compiles an organization's tribal knowledge London / SF Full-time Engineering About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As an Applied Engineer at Pavo, you will design and own the agent system that compiles an organization's tribal knowledge - the body of knowledge that nobody has written down - from its own evidence: source code, structured data, internal documents, and conversations. You'll work hands-on at the level of agent architecture, pipeline design, and the production surface that turns a generative system into one customers can depend on. You'll partner closely with the Applied Scientist on instrumentation - but the system itself is yours. It is the most consequential thing we build, and idea to production is days. This is a senior, individual-contributor role. Everyone on the team joins as a Member of Technical Staff - with the scope, autonomy, and end-to-end ownership that title implies. What You'll Build Hierarchical Agent Architecture: Design how a main agent coordinates sub-agents, tools, and skills - deciding where deterministic scaffolding beats prompting and where prompting is the right tool. This decomposition is the single biggest determinant of whether a generative knowledge system is dependable. The Synthesis Pipeline: Own the multi-stage system that turns heterogeneous private evidence into a verifiable knowledge artifact - with the checkpoints, retries, fallbacks, and structured outputs that production reliability requires. Deployment & Rollout: Build scheduled regeneration, quality and reliability gates, blue/green rollout, and customer-facing version control of compiled knowledge artifacts. Treat each release with the seriousness it deserves. Observability & Debuggability: Structured traces of agent runs, replay/debug tooling, cost and latency budgets, and regression detection on releases. A multi-stage agent run must be debuggable by someone who didn't initiate it. Reliability as a First-Class Property: Treat run-to-run variance as a defect class equal to incorrectness, and build the engineering practice that reduces it. Eval & CI Infrastructure: Reproducible, automated evaluation that feeds signal back into the deploy loop - complementary to the experimental harness on the science side. What We Are Looking For We are looking for an engineer who has shipped dependable production systems and is hungry to do it at the edge of what current agentic frameworks can do. Core Qualifications Senior Track Record: 8+ years building and operating production systems, including a stretch where you owned a major system or platform area end-to-end and were the engineer others came to for the hard problems. Production Engineering Chops: You ship Python systems that other engineers want to extend; you write tests that catch real bugs; you have opinions about structure, dependency boundaries, and what belongs in a library versus an application. Hands On with an Agentic Framework: Depth with at least one - Anthropic tool use, OpenAI Agents SDK, Pydantic AI, LangGraph, AutoGen, or equivalent - including its sharp edges, not just its happy path. We have no preference for which; we strongly prefer that you've been bitten by one. Strong Opinions on Agent Architecture: When to use a single-context agent versus decompose into sub agents. Where deterministic code beats prompting, and how to tell which before the third refactor. What a tool is, what a skill is, and where the line is. Deployment Pipelines for ML/LLM Systems: Experience designing and operating rollout, gating, observability, on call posture, and regression detection. Comfort with Reliability Work: The unglamorous work that turns a flaky agent into a dependable one - async Python, structured outputs, retries with sensible idempotency, and the long tail of "why did this run produce a different answer." Pragmatism About Prompts: A hard won sense of what's prompt tunable and what isn't. You've earned this opinion at least once. Preferred Qualifications Built or maintained an LLM evaluation harness in production. Familiarity with retrieval / IR systems and the engineering of large-context pipelines. Distributed systems background - workflow engines (Temporal / Airflow / Prefect), queues, and observability stacks (OpenTelemetry, Datadog, Honeycomb). Open source contributions to agentic frameworks, eval tooling, or workflow orchestration. Why Join Us Architecture Defining Work: The system you design becomes the substrate for everything we ship downstream. Short Loop: Work directly with the Applied Scientist on instrumentation and with the founders on platform direction. Idea to production is days. Real Ownership: Genuine ownership in a small, technically deep team. Your name will be on the system. Foundational Space: The private knowledge layer will reshape how AI agents operate inside organizations; the engineering problems sit at the edge of what current agentic frameworks can do well. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description We are hiring a Senior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI assisted development across the organization. This is not a traditional full stack role, and it is not a "prompt engineering" role. You will work at the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement. You will build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards. You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability. You Will Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle. Design and build internal tools, workflows, templates, integrations, and automation that make AI assisted development safer, faster, and more consistent. Create and maintain engineering standards, guidance, and reusable patterns for AI assisted software delivery. Help teams adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability. Work with engineers and stakeholders to understand real delivery pain points and translate them into practical enablement solutions. Build or integrate capabilities around AI assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval. Contribute to AI governance implementation by helping translate policy and security expectations into usable engineering workflows. Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks. Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment. Coach and support engineers through workshops, documentation, demos, and hands on enablement. Operate with high autonomy in a fast moving area where ambiguity is expected and practical ownership is essential. AI & Engineering Enablement Mindset Strong interest in how AI is changing software engineering, developer workflows, and engineering productivity. Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools. Ability to distinguish between AI experimentation and production grade engineering practices. Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards. Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout. Curious about areas such as AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement. The Impact You Will Have Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards. Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance. Improve developer experience by removing friction from common engineering tasks. Help establish measurable AI adoption practices across software engineering. Contribute to the next generation of AI enabled engineering capability within the Investor Services organization. Qualifications Required 8+ years of professional software engineering experience with strong ownership of complex systems, platforms, or engineering capabilities. Strong proficiency in TypeScript and modern JavaScript. Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns. Experience working across frontend and backend boundaries, including APIs, integrations, services, and data flows. Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness. Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements. Ability to work with multiple engineering teams, understand their delivery challenges, and create practical solutions that scale. Strong written communication skills, with the ability to create clear technical guidance, onboarding material, and adoption documentation. Ability to operate in ambiguity, structure unclear problems, and move from discovery to delivery. Security conscious engineering mindset, especially when introducing new tools, automation, or AI assisted workflows. Preferred Experience with AI assisted development tools in real software delivery, not only experimentation. Experience building internal platforms, developer tooling, engineering productivity tools, or paved road capabilities. Experience with Node.js, Python, or another backend language. Experience with cloud based systems, preferably AWS. Experience with observability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards. Experience in regulated or enterprise environments with strong governance, security, and release discipline. Experience with design systems, frontend platform standards, accessibility, and reusable UI patterns. Experience with knowledge retrieval, documentation systems, RAG style workflows, or internal engineering knowledge platforms. Experience designing lightweight evaluation approaches for AI generated outputs, automation, or agentic workflows. Experience coaching engineers, running workshops, or driving adoption of new engineering practices.

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

JOB DESCRIPTION We're looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Senior Principal Software Engineer at the company within Infrastructure Platforms - Cloud Foundation Services, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. Job responsibilities Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio Creates novel code solutions and drives the development of new production code capabilities across teams and functions Translates highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences across business, product, and technology teams and successfully manages senior stakeholder relationships Champions the firm's culture of diversity, opportunity, inclusion, and respect Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments Required qualifications, capabilities, and skills Proven software engineering experience Practical experience delivering system design, application development, testing, and operational stability Expert in one or more programming language(s): Java, Go, Python, Rust, etc. Demonstrated prior experience with influencing across functions and teams and delivering value at scale Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines Extensive practical cloud native experience Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies Preferred qualifications, capabilities, and skills Strong experience with cloud-native architecture, event-driven architecture, test-driven development Domain-level expertise in building continuous compliance systems at scale in financial services Expert-level understanding and experience with regulatory and industry standards relating to technology controls in financial services ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Senior Embedded Architect ManagerApplylocations: UK, Remote: UK, Cambridge: UK, Bristol: UK, Belfast: UK, Readingtime type: Full timeposted on: Posted 10 Days Agojob requisition id: JRNVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products.NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. Collaborate with partners on the implementation of open-source software. Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. Work with customers, partners to identify and address security issues and threats. What we need to see: BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. 12+ years of relevant experience. First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe Have directly worked on several of the following: Computing platform boot architecture in embedded devices and servers RISC-V architecture, Root-of-trust, and security processors. Familiarity with embedded systems and programming low-level firmware. Familiar with Security-by-design hardware and principles of privileges. Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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