523 jobs found

High impact domains you might join Fund Operations: Building the core engine that powers our vision of an operating system for private capital, simplifying complex accounting workflows. Investor Reporting: Developing features that enable investment firms and audit partners to share accurate, timely performance data. Risk & Compliance: Scaling the infrastructure that ensures security and transparency across billions of dollars in assets. The Problems You'll Solve As a Senior Software Engineer II, you will lead technically complex projects and serve as a multiplier for your team. You'll work to: Drive Implementation: Lead the execution of complex technical projects, driving them from concept to production while maintaining high standards for performance and reliability. Simplify Systems: Dig deep into our architecture to identify opportunities to simplify code and infrastructure, prioritizing changes that have a measurable business impact. Leverage Modern Tooling: Use the best AI-assisted engineering tools to accelerate your workflow, improve code quality, and spend more of your time solving the high-level logic and unconventional problems. Foster Growth: Act as a mentor and coach, raising the technical bar for your peers through diligent PR reviews and architectural guidance. Collaborate Cross-Functionally: Partner with product and design to ensure we are building the right solution for the user, not just following a specification. About You The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS. Execution: You can break down complex user stories into actionable tasks and execute them with minimal guidance. Strategic Mindset: You understand the "why" behind your code and can articulate technical trade-offs to stakeholders. Experience: We recommend 8+ years of professional software engineering experience for this level. Disclosures We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email. Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil Transparency Report. Please note that all official communications from us will come from domain. Report any contact from unapproved domains to .

JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Senior Lead Software Engineer at the company within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision makers to consider the use and application of leading edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Coordinates DevOps / Integration release management activities Monitoring & Management of Plant Capacity & Reporting Management of Continuous Integration Environment Third Level Support Production Support Required qualifications, capabilities, and skills Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed. Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language Preferred qualifications, capabilities, and skills KDB+ knowledge AWS experience Kubernetes Terraform 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.

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.

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

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

Job Title Sole Software Tester - Wolverhampton - Software House - ISTQB Location West Midlands Industry IT Salary £30,000 - £35,000 per annum + Pension, 25 days holiday, Bonus Description We are an international company looking to recruit a Senior Software Tester to join our software development team. You will be responsible for developing and improving existing testing procedures and methods, using both manual and automated testing methodologies (no prior automated experience required, but a plus). You will work closely with software engineers to ensure the highest standard of software quality through methodical and systematic testing of enhancements and bug fixes at the earliest possible stage. Responsibilities Define testing approach Modify test cases Execution of test scripts Gathering, reporting and monitoring test metrics and defect analysis Regression and performance testing Qualifications Senior Software Tester experience ISTQB or ISEB qualified Experience with Black Box / White Box testing Knowledge of V-Model, Waterfall, Agile frameworks Salary & Benefits Salary: £30,000 - £35,000 per annum. Bonus, 25 days holiday, pension plan, cross training into automation. Working Environment Our office is based in the West Midlands, easily commutable from Wolverhampton, Birmingham and Dudley. Free parking is available but public transport is also accessible. Recruiter Jo Bevington Phone: Email: Equal Opportunity Candidates of all ages and backgrounds will be considered for this Job.

Job Title: Senior Python Developer Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes: Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.

(Senior) Research Software Engineer - AI Co-Scientist Systems Job Title (Senior) Research Software Engineer - AI Co-Scientist Systems Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £38,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI Co-Scientist Systems and Lab Automation Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will take a research-active software engineering and AI systems role in the AI for Biology Group, building the AI-agent-driven platform required for Generative Digital Biology. The role will connect foundation models, scientific tools, biological datasets, experimental design algorithms, lab automation workflows, robotics interfaces and human in the loop scientific decision making. This is a platform building research role, not a conventional bioinformatics software support post. The successful candidate will contribute intellectually to research, develop publishable AI systems, build open source software and demonstrators, co author research outputs and support competitive grant applications. The role would suit a highly capable computer scientist, AI systems researcher, robotics engineer or research active software engineer who wants to build the technical backbone for AI driven biological discovery. A key objective will be to develop an AI co scientist demonstrator for the group and the Institute: a platform that can show how AI agents can interact with human scientists via virtual/augmented reality, reason over biological questions, call scientific tools and APIs, use foundation models, design experiments, interface with computational and physical workflows, and support rigorous, auditable and reproducible scientific discovery. The post holder will work closely with the other AI for Biology appointments. Foundation model research in the group will provide biological representations and predictive models; generative and causal AI research will provide design and experimental decision algorithms; this RSE role will build the software, agentic workflows, tool registries, automation interfaces, provenance mechanisms and demonstrator environment that connect these components into a usable scientific discovery system. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design build test learn cycles; with Cellular Genomics and Single cell and Spatial Analysis on perturbation, cell state and single cell/spatial omics use cases; and with BioFAIR, ELIXIR UK, Open and FAIR Data and Research e Infrastructure colleagues on AI ready design datasets, benchmarks, provenance and reproducible workflows. Prior experience in lab automation is desirable but not essential. We particularly welcome candidates with exceptional computer science, large scale machine learning systems, robotics or software engineering backgrounds who are motivated to apply their skills to biological discovery and to learn the relevant biological and automation context. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures, Research e Infrastructure and technology platforms. Key internal relationships are expected to include Earlham Biofoundry and engineering biology colleagues for lab automation, robotics interfaces and design build test learn workflows; Research e Infrastructure for HPC/GPU/cloud, reproducible software and scalable model deployment; BioFAIR, ELIXIR UK and Open and FAIR Data colleagues for AI ready resources, provenance, data/model documentation and interoperable workflows; Cellular Genomics and Single cell and Spatial Analysis for biological use cases; and relevant EI groups working on plants, microbes, biodiversity, health, genomics and data intensive bioscience. EXTERNAL: The post holder will interact with UK and international collaborators in AI, AI agents, machine learning systems, research software engineering, robotics, laboratory automation, autonomous experimentation, computational biology, engineering biology, genomics, plant science, human health and therapeutic discovery. External collaborations may include academic, public sector, infrastructure, clinical and industry partners where appropriate. Main Activities & Responsibilities Design and build the AI Co Scientist system/software architecture for the GDB programme, including agent orchestration, tool registries, model interfaces, workflow execution, data/model versioning and provenance tracking. For appointment at SC5, take technical and operational leadership of a defined AI Co Scientist platform or workstream; own the architecture, roadmap, milestones and technical risk decisions; and deliver the work with limited supervision (essential for SC5). 20 Develop AI agent workflows for scientific reasoning, literature/data retrieval, tool use, planning, hypothesis generation, experimental design, result interpretation, iterative refinement and human in the loop decision making. 15 Build software interfaces connecting AI agents with biological datasets, foundation models, generative models, Bayesian experimental design, optimisation algorithms, benchmarking tools and HPC/GPU/cloud resources. For appointment at SC5, coordinate cross platform integration, define interface contracts and engineering standards, resolve technical dependencies, and ensure coherent delivery across AI, data, infrastructure and automation partners (essential for SC5). 15 Develop interfaces to lab automation, robotics, biofoundry workflows, instrument control APIs, LIMS/ELN systems, digital twin/simulation environments or related physical AI workflows where appropriate. 15 Build an interactive AI Co Scientist demonstrator environment for research, collaboration, grant development and institutional showcase purposes. 10 Implement robustness, safety, permissioning, sandboxing, audit trails, provenance, reproducibility, monitoring and responsible use/dual use aware controls for AI systems operating in biological contexts. For appointment at SC5, define and lead implementation of software quality, testing, security, provenance, auditability and safe tool execution standards, including design/code review and release readiness decisions (essential for SC5). 10 Contribute intellectually to research papers, conference submissions, technical reports, open source software releases, demonstrations, presentations and community resources. For appointment at SC5, lead major software releases, demonstrators and technical/research outputs, and represent the work in relevant internal and external forums (essential for SC5). 10 Contribute to collaborative projects, competitive grant applications, documentation, testing, responsible data handling and long term platform strategy for the AI for Biology Group. For appointment at SC5, make substantive contributions to grant development and long term platform strategy, and provide technical guidance or mentoring to junior researchers or engineers (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing, Data Science, Computational Biology or a closely related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong hands on software engineering ability, evidenced through substantial implemented systems, research software, open source code, AI/ML platforms, robotics/automation software or scientific computing projects Essential Experience designing, implementing and maintaining complex research software systems, AI systems, agentic workflows, robotics/automation software, scientific platforms or data intensive computational infrastructure Essential Experience with modern AI systems or scientific computing systems, such as large language models, tool-using agents, retrieval augmented generation, workflow orchestration, model APIs, machine learning frameworks, and the ability to develop agentic workflows for scientific applications Essential Understanding of, and commitment to, trustworthy AI, robustness, safety, provenance, auditability, sandboxing, permissioning, monitoring or dual use aware AI workflows for biological applications Essential Ability to build robust, maintainable and reproducible software using version control, testing, documentation, containers, APIs, databases, workflow tools, CI/CD and deployment on HPC, GPU, cloud or distributed computing environments Essential Demonstrable practical experience designing and building AI-agent, multi agent or scientific agent systems, including relevant experience in orchestration, tool use and evaluation (essential for SC5) Desirable Experience with robotics, lab automation, self driving laboratories, autonomous experimentation, instrument control, liquid handling platforms, automated microscopy, microfluidics, sequencing workflows, biofoundry platforms, ROS/ROS2 or related hardware/software integration Desirable Experience with biological data, genomics, single cell data, imaging . click apply for full job details

Reporting to the Group Technical Director, the IT Manager is responsible for leading day-to-day IT operations across WPS UK and ensuring stable, secure, and effective delivery of infrastructure, end-user support, business systems support, supplier management, and IT service improvement. The role translates business and technology strategy into operational delivery, manages internal and third-party resources, and ensures that IT services, standards, security controls, and change activity are executed effectively. Lead day-to-day IT operations across WPS UK, ensuring reliable support for infrastructure, devices, business applications, networks, and end users. Implement IT strategy, standards, and policies in line with business priorities and GTD's direction. Manage internal IT resources and third-party suppliers, including service performance, issue escalation, delivery coordination, and accountability against agreed outcomes. Oversee infrastructure and hardware operations including network services, servers, storage, workstation and device management, and core office technology. Ensure effective administration and support of software and business applications, including Microsoft 365, ERP and other business-critical platforms. Maintain strong oversight of cybersecurity, data protection, compliance, backup, disaster recovery, and business continuity arrangements. Own IT service performance, including incident management, support responsiveness, prioritisation, monitoring, and continual improvement of support processes. Manage IT budgets, operational spending, license costs, and supplier-related spend, escalating items requiring higher approval where needed. Plan and coordinate IT projects, upgrades, rollouts, and change initiatives, ensuring structured execution, stakeholder engagement, and minimal business disruption. Work closely with department leaders to understand operational needs, support technology adoption, and align IT delivery with business processes and growth plans. Ensure documentation is maintained for systems, services, policies, risks, decisions, and operational procedures. Provide regular reporting on service performance, project progress, resource utilisation, risks, incidents, and compliance status. Skills, Knowledge & Experience: Proven experience in an IT Manager or senior IT operations / infrastructure role. Strong knowledge of IT operations across infrastructure, end-user computing, Microsoft 365, networks, service delivery, and supplier management. Experience managing third-party vendors, contracts, and operational service delivery. Good understanding of cybersecurity, IT policies, compliance, backup, and business continuity. Experience leading operational change, projects, and service improvement activity. Strong communication, decision-making, people management, and stakeholder management skills. Desirable: experience in manufacturing, engineering, ERP-enabled environments, or multi-site businesses. Salary & Benefits Salary negotiable dependent on experience 37.5 hours per week (office based) 25 days holiday per year plus 8 bank holidays Healthcare cash plan, on-line GP, counselling and well-being On-site parking with EV chargers EV salary sacrifice scheme Join the team Ready to start your journey with us?

About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link. About the role The Senior Software Engineer will play a critical role in advancing the reliability, scalability, and operational excellence of the Chainlink Runtime Environment (CRE) platform. Working on foundational platform capabilities, this role will design and build distributed systems that enable resilient workflow execution while supporting the continued growth of one of Chainlink's flagship products. Your Impact Design, build, and operate highly scalable platform services that improve the reliability and performance of the CRE platform. Lead the development of production grade backend services and APIs that support multiple internal stakeholders and platform consumers. Drive architectural improvements that enable both vertical and horizontal platform scaling. Improve workflow execution durability and platform resilience through thoughtful engineering, rigorous testing, and operational excellence. Partner with engineering teams across the organization to deliver cross functional platform initiatives from architectural design through production deployment. Strengthen platform ownership by reducing operational silos, improving documentation, and increasing shared knowledge across the engineering organization. Contribute to improving platform reliability through engineering practices aligned with service reliability objectives and measurable operational outcomes. Required Skills Experience designing, building, and operating large scale production platforms. Advanced proficiency developing production systems in Go (Golang). Experience building production APIs and backend applications serving multiple stakeholders. Strong experience designing and operating distributed systems. Demonstrated ability to deliver reliable, high quality software through rigorous engineering practices. Strong systems thinking with the ability to evaluate architectural trade offs and solve complex technical problems. Self driven approach with a high degree of ownership, technical curiosity, and continuous learning. Excellent collaboration and communication skills within cross functional engineering environments. Preferred Skills Experience defining, measuring, and improving service reliability through SLOs and SLIs. Experience developing software using TypeScript, Solidity, or additional backend technologies. Strong interest in blockchain infrastructure and Web3 technologies. Experience building decentralized applications (dApps). Experience developing financial infrastructure, banking systems, or other mission critical distributed platforms. All roles with Chainlink Labs are global and remote based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit, is subject to our Recruiting Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.

Job Overview Arm is seeking a Strategic Partnerships Lead to help drive strategic collaborations across key ecosystem partners. This role sits at the intersection of software platforms, system architecture, and AI systems, working across areas such as Edge AI, Physical AI, security, and system enablement. The work spans Arm-powered client and edge devices-including smartphones, large-screen compute (LSC) platforms, wearables, and IoT devices-as well as next-generation systems such as robotics and autonomous vehicles. You will work closely with Arm engineering teams and external partners to drive day-to-day technical engagements, ensuring discussions translate into clear actions, aligned inputs, and consistent execution. The focus is practical and dedicated: helping complex, multi-team collaborations make measurable progress. This is a hands on individual contributor role, suited to someone who enjoys working across fields, coordinating technical workstreams, and giving to impactful ecosystem outcomes in a fast moving environment. Responsibilities Drive Technical Partner Engagements Give to ongoing technical collaborations with ecosystem partners across AI systems, platform software, security, and system architecture. Act as a day to day point of contact for specific workstreams, ensuring meetings, follow ups, and technical discussions remain focused and productive. Represent Arm in partner interactions in a clear, consistent, and professional manner, advancing issues where alignment or decisions are required. Advance Edge AI and System Level Initiatives Support collaborations on Edge AI and system-level innovations, including on device AI execution, system performance, security, and deployment across smartphones, LSC platforms, wearables, IoT devices, and emerging Physical AI systems such as robotics and autonomous vehicles. Work with Arm technical teams and partners to align inputs, data, and next steps for active engagements. Track agreed actions and ensure progress is visible and clearly communicated across partners. Coordinate Across Teams Work with multiple Arm teams (AI/ML, CPU, GPU, system software, tools) to coordinate inputs required for partner engagements. Translate partner requirements into clear internal follow ups, enabling efficient and consistent responses. Maintain awareness of engagement status, dependencies, and risks across workstreams. Support Cross Organization Projects and Task Forces Support joint technical projects and task forces by giving to planning, achievement tracking, and shared documentation. Drive execution by tracking actions, leading dependencies, and highlighting issues early. Apply structured execution practices to improve transparency, cadence, and teamwork effectiveness. Contribute to Ecosystem Impact Support initiatives that drive adoption of Arm technologies across the broader ecosystem. Assist in preparation of materials for partner reviews, internal updates, and executive briefings. Supply to technical workshops, industry events, or forums as needed, working with senior partners. Required Skills & Experience Understanding of software platforms, system architecture, AI systems, or security, gained through hands on technical or adjacent roles. Experience working across multiple engineering teams to coordinate technical work or shared objectives. Experience supplying to partner or cross company technical collaborations. Ability to manage everyday execution independently while seeking guidance when needed. Nice to Have Experience working in partner driven or multi organization environments. Familiarity with AI/ML systems, security, or heterogeneous computing platforms. Experience applying program or project coordination practices in technical settings. In Return At Arm, you'll work on industry defining technology that shapes how AI and systems software run across a wide range of devices! In this role, you'll gain: Exposure to strategic ecosystem partnerships and industry collaborations. A chance to develop deep experience in AI systems and cross company collaboration. A supportive, inclusive environment that values curiosity, collaboration, and continuous learning! Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual's application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Chainlink Labs is looking for a Senior Software Engineer to enhance the reliability and operational excellence of the Chainlink Runtime Environment. You will design and build scalable platform services, lead backend service development, and ensure durable workflow execution. Your role contributes significantly to platform architecture and supports cross-functional initiatives. A solid background in Golang, distributed systems, and high-quality software delivery is essential.

Requisition ID31464-Posted -London-Janus Henderson A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity As a Senior Engineer within Platform Engineering, you will lead the design, build, and evolution of our Internal Developer Platform (IDP), enabling consistent, secure, and scalable software delivery across the enterprise. This role combines DevOps engineering, platform architecture, and developer experience enablement, with a strong focus on CI/CD transformation (Azure DevOps to GitHub), platform tooling, and data platform integration (Snowflake, Databricks). You will act as a subject matter expert (SME) across DevOps tooling, automation, and platform reliability-driving best practices, standardisation, and self service capabilities for engineering teams. Design, build, and evolve enterprise platform services to support the Internal Developer Platform (IDP) and enable scalable, secure, and self service engineering environments. Lead DevOps transformation initiatives, including migration from Azure DevOps to GitHub, and implement standardised CI/CD pipelines, reusable workflows, and release automation frameworks. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, Bicep, or similar tools to provision and manage cloud infrastructure. Deliver and optimise cloud native platforms on Azure (primary), ensuring scalability, resilience, and cost efficiency. Act as SME across DevOps tooling, including GitHub (Actions, Advanced Security), Nexus (artifact management), and Veracode (application security), embedding security controls into pipelines and platform services. Enable and support DevOps practices for core data platforms, including Snowflake and Databricks, covering environment provisioning, CI/CD integration, and access control models. Implement observability frameworks, including monitoring, logging, and alerting, and contribute to SRE practices such as SLIs/SLOs, reliability engineering, and incident management. Embed security and compliance standards into all platform components, ensuring auditability, policy enforcement, and alignment with enterprise governance requirements. Drive developer experience improvements through platform standardisation, self service tooling, templates, and AI enabled capabilities (e.g., Copilot, intelligent automation). Collaborate with Architecture, Cloud COE, SRE, and engineering teams to deliver consistent and governed platform capabilities across the organisation. Mentor junior engineers and contribute to technical leadership, standards definition, and engineering best practices. What to expect when you join our firm Hybrid working and reasonable accommodations Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Bachelor's or master's in computer science, Engineering, or related field 6+ years of experience in platform engineering, DevOps, or infrastructure roles Strong experience with cloud platforms (Azure preferred) Proficiency in containerisation (Docker, Kubernetes) Hands on with CI/CD tools (GitHub, Azure DevOps, GitLab CI) Experience with IaC tools (Terraform, Pulumi, Ansible) Strong experience in DevOps, Platform Engineering, or Infrastructure Engineering roles within enterprise environments Proven expertise in CI/CD pipeline design, automation, and standardisation using GitHub (Actions, Advanced Security) and Azure DevOps, including migration from ADO to GitHub Deep hands on experience with Infrastructure as Code (Terraform, Bicep or equivalent) and automated cloud provisioning Strong knowledge of Azure cloud platform, including compute, networking, identity, and security services Experience implementing DevSecOps practices, including integration of SAST/DAST tools (e.g., Veracode), secrets management, and secure pipeline execution Expertise in artifact management (e.g., Nexus) and modern DevOps tooling ecosystems Experience enabling Internal Developer Platform (IDP) capabilities, including self service provisioning, reusable templates, and platform standardisation Solid understanding of software development lifecycle (SDLC), release engineering, and environment lifecycle management Experience working with data platforms (Snowflake and/or Databricks), including CI/CD integration, environment provisioning, and access control models Strong knowledge of containerisation and cloud native technologies (Docker, Kubernetes) Experience with observability and monitoring frameworks (e.g., Azure Monitor, Prometheus, Grafana) and understanding of SRE practices (SLIs/SLOs, reliability engineering) Strong scripting/programming skills (Python, PowerShell, Bash) and automation mindset Good understanding of security, networking, RBAC, and Zero Trust principles in cloud and DevOps environments Exposure to AI enabled developer tooling (e.g., GitHub Copilot, intelligent automation) and improving developer experience Experience operating in regulated, enterprise scale environments with strong focus on governance, auditability, and compliance Strong communication, collaboration, and stakeholder management skills, with ability to act as a hands on SME and technical leader Nice to have skills Certifications in cloud technologies or Kubernetes. Experience building or contributing to an Internal Developer Platform (IDP) Familiarity with service mesh, API gateways, and platform observability tools Knowledge of FinOps, cost optimisation, and cloud governance Solid programming skills (Python, Go, or Java) Strong understanding of networking, security, and system architecture Experience building or contributing to an Internal Developer Platform (IDP) Exposure to AI enabled development (e.g., GitHub Copilot, automation workflows) Knowledge of FinOps, cost optimisation, and cloud governance Relevant cloud or Kubernetes certifications Supervisory responsibilities No Potential for growth Regular training Continuing education courses Cross functional collaboration You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at . Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career pagehere . Janus Henderson Investors is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities . click apply for full job details

If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As the Risk Technology UI & Workflow Platforms Lead at JPMorgan Chase within the Risk Tech organization, you will lead a technical area and promote impact across teams, technologies, and projects within various departments. You will leverage your extensive knowledge of software, applications, technical processes, and product management to oversee multiple complex projects and initiatives. In this role, you will serve as the primary decision maker for your teams, fostering innovation and ensuring effective solution delivery. Job responsibilities Leads technology and process implementations to achieve functional technology objectives Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures Develops and maintains a product roadmap outlining the planned features and enhancements Monitors product performance and user feedback to identify areas for improvement and make data-driven decisions Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations Delivers technical solutions that can be leveraged across multiple businesses and domains Influences peer leaders and senior stakeholders across the business, product, and technology teams Champions the firm's culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient expert experience Significant experience of developing or leading cross-functional teams of technologists Experience of building technical platforms/products and achieving adoption across a large organisation Proven experience of leading a product as a Technical Product Owner or Technical Product Manager Proven understanding of platform architecture and development Excellent leadership, communication, and interpersonal skills Skilled in hiring, developing, and recognising talent Preferred qualifications, capabilities, and skills Financial Services experience Degree qualified 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.

The Role We are seeking a Senior Developer to work on the design and delivery of real time and time series data platforms within our investment management technology team. This role combines hands on engineering with domain expertise, setting direction for systems that underpin market data, trading, portfolio, and analytics workflows used by Portfolio Managers, Traders, and Quant teams. In this role you will You will act as the lead developer for real time and historical data platforms, including integration with vendor platforms like OneTick and real time data providers like Bloomberg, Refinitiv etc., and will be responsible for design, implementation, engineering standards, and production stability. You will work closely with our business and IT leaders to understand the requirements, propose scalable solutions and set engineering standards around performance, resilience, data quality and observability while remaining deeply hands on during the implementation phase. Key responsibilities to also include: Understand the evolving business requirements and use the domain knowledge to lead the design and implementation of real-time and time-series data services Work closely with architects and developers to make pragmatic architectural decisions balancing business urgency, scalability and long term maintainability Remain deeply hands on in design and implementation of critical components Set engineering standards around performance, resilience, data quality, and observability. Review code and designs, focusing on correctness, performance, and operational readiness Design schemas, partitioning, and data lifecycle strategies for large scale intraday and historical datasets Lead integrations with vendor platforms and ensure consistent, reliable data across internal consumers Optimize query performance and data access patterns for PM, Trader, and Quant use cases Own production stability for business critical data systems, particularly during trading hours Define and enforce best practices for monitoring, alerting, incident response, and root cause analysis Proactively identify performance bottlenecks, scalability risks, and operational weaknesses Mentor engineers, providing technical guidance and raising overall team capability What it takes Proven significant professional software engineering experience combined with significant domain expertise gained from building real time data platforms in investment management domain Strong experience in integration with real time vendor platforms like OneTick, and strong experience in time series databases and analytical platforms Strong hands on experience in Java, Python and other programming languages, and building scalable services on AWS Proven experience acting as a Lead Engineer on mission critical systems involving real time streaming and messaging technologies on Cloud infrastructure (AWS) Deep understanding of financial time series characteristics (high volume, bursty data, corrections, late data) and proven ability to design scalable schemas and query models for both intraday and historical analytics Strong understanding of market data, orders, executions, positions, portfolios, and pricing Experience balancing latency, storage efficiency, and analytical flexibility Familiarity with vendor data ecosystems (e.g. Bloomberg, Refinitiv, MarketAxess) Experience delivering platforms used directly by PMs, Traders, and Quant teams Strong ability to influence technical direction and mentor senior and junior engineers Special Factors Vanguard is not offering visa sponsorship for this position This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday)

The Role We are seeking a Lead Developer to work on the design and delivery of real time and time series data platforms within our investment management technology team. This role combines hands on engineering with domain expertise, setting direction for systems that underpin market data, trading, portfolio, and analytics workflows used by Portfolio Managers, Traders, and Quant teams. In this role you will You will act as the lead developer for real time and historical data platforms, including integration with vendor platforms like OneTick and real time data providers like Bloomberg, Refinitiv etc., and will be responsible for design, implementation, engineering standards, and production stability. You will work closely with our business and IT leaders to understand the requirements, propose scalable solutions and set engineering standards around performance, resilience, data quality and observability while remaining deeply hands on during the implementation phase. Key responsibilities to also include: Understand the evolving business requirements and use the domain knowledge to lead the design and implementation of real-time and time-series data services Work closely with architects and developers to make pragmatic architectural decisions balancing business urgency, scalability and long term maintainability Remain deeply hands on in design and implementation of critical components Set engineering standards around performance, resilience, data quality, and observability. Review code and designs, focusing on correctness, performance, and operational readiness Design schemas, partitioning, and data lifecycle strategies for large scale intraday and historical datasets Lead integrations with vendor platforms and ensure consistent, reliable data across internal consumers Optimize query performance and data access patterns for PM, Trader, and Quant use cases Own production stability for business critical data systems, particularly during trading hours Define and enforce best practices for monitoring, alerting, incident response, and root cause analysis Proactively identify performance bottlenecks, scalability risks, and operational weaknesses Mentor engineers, providing technical guidance and raising overall team capability What it takes Proven significant professional software engineering experience combined with significant domain expertise gained from building real time data platforms in investment management domain Strong experience in integration with real time vendor platforms like OneTick, and strong experience in time series databases and analytical platforms Strong hands on experience in Java, Python and other programming languages, and building scalable services on AWS Proven experience acting as a Lead Engineer on mission critical systems involving real time streaming and messaging technologies on Cloud infrastructure (AWS) Deep understanding of financial time series characteristics (high volume, bursty data, corrections, late data) and proven ability to design scalable schemas and query models for both intraday and historical analytics Strong understanding of market data, orders, executions, positions, portfolios, and pricing Experience balancing latency, storage efficiency, and analytical flexibility Familiarity with vendor data ecosystems (e.g. Bloomberg, Refinitiv, MarketAxess) Experience delivering platforms used directly by PMs, Traders, and Quant teams Strong ability to influence technical direction and mentor senior and junior engineers Special Factors Vanguard is not offering visa sponsorship for this position This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday) Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing. We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimise athletes' health, game-day readiness, and performance, as well as in-game tactics. Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. WE WANT PEOPLE WHO ARE PASSIONATE ABOUT DELIVERING INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS WHAT YOU'LL DO End-to-End Pipeline Contribution: Collaborate with senior data scientists, computer vision engineers and vertical teams to translate product requirements into practical computer vision solutions, helping design the pipeline from raw video ingestion to production inference. Algorithm & Model Development : Design, train, and evaluate deep learning architectures alongside classical computer vision pipelines (e.g., feature tracking, optical flow, and spatial filtering via OpenCV). Geometric Computer Vision : Develop robust mathematical pipelines for camera calibration, homography estimation, and coordinate mapping to ensure model spatial outputs are accurate and stable. Modern Cloud & Containerised Deployment: Focus on architecting and containerising Python-based cloud microservices (via Docker) as our primary, future-facing deployment model. Desktop Applications Support: Assist in compiling cross-platform native binaries or shared libraries linking against the ONNX Runtime C++ API to support and maintain our existing Windows/macOS desktop application footprint. Automated Data Curation : Help build intelligent, automated data-ingestion pipelines that utilise model-assisted pre-labeling to continuously clean and version high-throughput training datasets. Interface & Boundary Design: Participate in defining clean API boundaries and interface contracts to ensure our core data science modules integrate seamlessly into downstream vertical applications. WHAT YOU'LL NEED Core Algorithmic Background: Foundational knowledge of classical computer vision (multi-view geometry, object tracking, spatial transformation) and modern deep learning architectures (object detection, semantic/instance segmentation, transformer-based vision models). Production Model Training: Experience sourcing, structuring, training, and benchmarking deep neural networks using PyTorch or TensorFlow. Hybrid Language Skills: High proficiency in Python for prototyping, training, scripting, and deployment pipelines, combined with a practical, supporting capability to read, build, and debug existing C++ codebases (including exposure to build management tools like CMake). Execution Graph Optimisation: Familiarity with optimising model runtimes and inference execution graphs for real-time applications using TensorRT or ONNX Runtime (e.g., quantisation, layer fusion). Modern Infrastructure: Practical experience with Docker containerisation, version control (Git), and cloud platform execution (AWS). NICE TO HAVE Neural Architecture Customisation: Experience modifying, adapting, or designing custom neural network components (e.g., specialised backbones, attention mechanisms, or custom loss functions) rather than just implementing standard off-the-shelf models. Advanced Mathematical Foundations: A strong intuitive grasp or academic background in applied linear algebra and matrix calculus, particularly as it relates to 3D spatial transformations and projective geometry. Downstream Integration: Experience or familiarity with native application development tools (Visual Studio, Qt Creator) to help ease collaboration when handing off components to vertical app teams. Sports Video Benchmarks: Experience experimenting with or competing in open-source sports analytics datasets and challenges (e.g., SoccerNet, SportsMOT, or similar multi-object tracking and action-spotting benchmarks). Domain Alignment: A genuine interest in sports analytics, tracking technology, or elite human performance. WHAT YOUR SUCCESS WILL LOOK LIKE In 6 Months' Time Global Impact: Your work will be actively contributing to features underpinning informed decisions made by elite coaches and professional athletes globally. Collaborative Innovation: You will have partnered with the team to take an algorithmic feature from an abstract brief to a stable, deployable Python asset - actively bringing your own unique background, skills, and fresh ideas to the model selection and training process. Proactive Integration: You will feel completely up to speed with our workflows and comfortable actively identifying potential pipeline improvements, while seamlessly reviewing our existing cross-platform desktop deployment workflows to help support the team's legacy footprint. WHY CATAPULT? We have amazing people. We promise you'll work with some of the most ambitious, intelligent people in an exciting industry, and do some of the best work of your life. We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary. We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance. Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness. We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve. There is an unlimited opportunity to grow, do more, and do better. Whether you're interested in sports or not, you'll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalised groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do. All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.