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We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role Applied AI Transformation Managers are technically oriented strategic advisors and operators who ensure value alignment to our customer's most strategic projects and drive program delivery across several strategic accounts. You'll be responsible for identifying strategic opportunities for our customers to realize value from Cognition's platform and ensuring strong value capture and reporting. You will support delivery of enterprise wide programs to implement agentic AI, specifically by designing and building the operating model and delivery model for agentic AI. You'll act as a trusted advisor to senior and functional leaders, designing value realization targets and delivering transformation programs. This role embeds with a select set of Cognition's strategic accounts for upfront strategy work through in-depth program management and delivery. You will be on the frontlines of supporting customers turning productivity gains and quantifiable financial impact. You will pioneer the playbook for how the world's largest enterprises get value from AI Agents. In this role, you will: Working with customer leadership to identify, quantify and report value targets for productivity gains and financial impact Ensuring seamless operations and delivery for the overall customer program, in close partnership with the Cognition account team Ensuring everyone at customer and Cog has visibility on playbook implementation, consumption metrics and value metrics Maintaining great relationships and customer trust via delivery Oversee onboarding and rollout to thousands of engineers, ensuring successful deployment Apply world class analytical and technical program management skills to support customer executives and teams, particularly with value realization and tracking Build centers of excellence within accounts and empower them through tailored enablement programs Requirements for the role: Computer science or EE undergrad SWE intern or full time work experience 3-5 years at a big 3 strategy consulting firm with a strong background in value targeting and realization and technology strategy as well as a proven track record building and expanding client relationships Ideally 2+ years experience at a startup in a customer facing role preferred Thrive in ambiguous, fast-changing environments-you move quickly and grow quickly Demonstrated ability to learn exceptionally fast You might excel if you have successfully been a part of complex enterprise teams, especially sourcing and managing account growth have worked as a software engineer, SE, technical account manager or other technical role previously founded a startup or were early stage at a high growth startup are a competitive, highly ambitious person who loves working in high-intensity environments Equal Opportunity Cognition is an equal opportunity employer.

Role purpose Avanade UK Security is scaling fast, requiring a Director level Identity & Access Management (IAM) Lead to build a Microsoft first IAM growth engine across advisory, implementation, and managed services, with a strong bias toward repeatable offers, accelerated conversion, and delivery excellence. This role is also accountable for positioning Identity as the control plane for AI era security, including Microsoft Agent365, Copilot driven workflows, and emerging agent based architectures, ensuring UK Security is future proofed for the next generation of identity centric security demand. This role reports to the UK Security Practice Lead and leads presales/solutioning with a technical Solution Architect and Presales Lead. Furthermore, this role owns IAM GTM, delivery quality, capability/IP build while feeding into the Identity MSS module as part of the broader MSS portfolio (separate accountability, tight interlock). Travel expected for key clients, Microsoft, and Practice leadership commitments. Commercial expectations This role influences revenue and will carry a soft target aligned to the UK Security all up plan: Year1: $1-2m influenced growth. Year2: $2-3m influenced growth. Success is measured through supporting the sales team to generate pipeline, conversion of pipeline, expansion/attach of existing accounts, and repeatable delivery. Reporting line & operating model Reports to: UK Security Practice Lead Key peers: UK MSS Lead, UK Security Presales Lead, UK Security Solution Architects (x2 from other practices - Infrastructure, Software Engineering, Modern Workplace, Data & AI, Business Applications) People leadership: No formal line management initially; expected to act as Career Advisor/People Lead for a small number of individuals (mentorship, development, high performance standards). Matrix influence: Identity Solution Architect soft reports into the IAM Lead for practice level IAM direction, consistency, and capability build while security leadership team members continue to report to the Practice Lead. Success criteria First 6 months - A clear IAM "spine" for the practice: what we sell, how we sell it, how we deliver it, and what becomes service delivered across UK onshore, nearshore delivery centres, and offshore delivery centres. A repeatable presales motion for Entra led IAM (workshops/assessments/pilots scaled rollouts) that improves speed and win rate. Delivery governance and QA standards that reduce programme variability and escalations. 12 months - A scaled, Microsoft first IAM pipeline with a predictable conversion pattern. Demonstrable asset reuse (templates, reference architectures, automation patterns, delivery playbooks). A clear project to service pathway into Identity MSS (handover criteria, onboarding artefacts, operational KPIs etc.). 24 months - UK recognised as a credible IAM leader in regulated industries, with external presence (clients/Microsoft/events) supporting sustained growth. Key responsibilities IAM GTM & seller enablement (primary) - Own the UK IAM narrative and differentiation: Microsoft Entra first (Entra ID, Entra Suite/E7 positioning, Identity Protection, governance and lifecycle foundations etc.). Own the UK Security narrative and capability for identity centric AI security, including Microsoft Agent365, Copilot, and agent based workloads, where identity, permissions, and trust boundaries are the primary control mechanisms. Define how agent identities, agent permissions, human to agent and agent to agent trust, and data access are governed, monitored, and secured using Microsoft Entra and the broader Microsoft Security stack. Ensure IAM offerings explicitly address AI driven risk scenarios, including delegated agent access, over privileged identities, lateral agent movement, and non human identity sprawl. Position Identity as the foundational security layer for AI adoption, pulling through Entra, E7, Purview, Defender, and AI Security conversations as a single, coherent value proposition. Build IAM led GTM plays where AI security, Copilot adoption, and Agent365 are anchored in identity governance, access control, and trust, positioning IAM as the entry point rather than an implementation afterthought. Build practical seller enablement: talk tracks, qualification prompts, value proof, commercial guardrails, "what good looks like" etc. Create repeatable plays by industry and account segment where identity is the control plane for transformation and AI adoption. Presales leadership & solutioning - Lead solutioning for complex IAM pursuits with UK IAM Solution Architect: scope, approach, commercials, delivery model, risks, and dependencies. Drive fast, outcome led client entry motions (e.g., Entra security & resilience assessment, identity modernisation, governance quick starts etc.). Work with Microsoft where relevant to accelerate co sell and secure sponsorship (without diluting Microsoft first stance). Delivery quality, escalation & governance (shared accountability) - Own IAM delivery quality and programme health: QA gates, architecture assurance, delivery risk management, and escalation resolution (shared with delivery leads). Ensure delivery standards produce repeatable outcomes and strong client confidence (not bespoke reinvention). Embed modern identity security realities into delivery (identity threat, resilience, response readiness) beyond "implementation complete" to expand Microsoft security footprint. Capability, assets & IP - Build reusable assets across assessment/diagnostics, reference architectures and design patterns, migration patterns (hybrid/legacy modernisation), automation (PowerShell, Graph/API patterns), runbooks and onboarding templates. Establish a clear lifecycle across project asset offer service to compound capability and drive recurring revenue. Identity MSS interlock - Define the "handshake" from projects into Identity MSS: what must be true at handover, onboarding artefacts, operational KPIs/reporting, continuous improvement backlog and ownership boundaries. Partner closely with the MSS Lead to ensure Identity MSS is scalable and commercially viable, without blurring accountability. Partner leverage - Build and support the Partner Ecosystem team to manage relevant partner alliances when needed (e.g., migration from non Microsoft IDPs; selective IGA integration etc.) always anchored to a Microsoft first end state. Culture, leadership & people development (mentorship) - Act as a high trust, high autonomy, high standards leader who raises quality, pace, and ambition. Provide mentorship and capability development through Career Advisor responsibilities and informal leadership especially for Solution Architects and emerging IAM talent. Essential Experience Proven track record building and scaling IAM capability in a consulting environment: sell + solution + deliver + industrialise. Deep Microsoft Entra leadership across Entra ID security and configuration, Conditional Access, authentication strength, Identity Protection, Identity governance and lifecycle foundations (JML and provisioning patterns), X to Entra migrations, driving Microsoft first identity journeys. Demonstrated ability to translate emerging Microsoft platform shifts (e.g. Agent365, Copilot, AI enabled security) into credible client narratives, offers, and delivery patterns, with Identity positioned as the primary security control. Strong understanding of workforce IAM and hybrid/legacy identity modernisation (AD and modern identity patterns). Senior stakeholder presence: able to operate credibly with CISOs/CIOs and internally influence sellers and architects. Desirable experience: Security operations awareness: monitoring/logging patterns, identity investigations, and integration with broader security services; Customer Identity and Access Management (CIAM)/B2C experience. Non negotiable behaviours: Microsoft first mindset as an exclusive stance; "start up mentality" - hungry, creative, ambitious, pace driven, ownership led; able to form and articulate a clear point of view on how identity, AI agents, and automation change the security model; Builds through others: sets direction, creates clarity, removes blockers, demands quality without creating dependency; Comfortable operating in a high ambition peer group with shared standards and high autonomy. Measures of success Influenced revenue against soft target (pipeline creation and conversion). Win rate and cycle time improvement for IAM pursuits. Delivery health: reduced escalations, stronger QA, predictable outcomes. Reuse rate and adoption of IAM assets/standard approaches. Successful, measurable conversion path from IAM projects into Identity MSS.

Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands on AI Application Architect, helping design intelligent, agentic, cloud native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes. Role Overview As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end to end. What you'll do Architect AI powered applications using autonomous and semi autonomous agentic frameworks. Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations. Modernise legacy applications using agentic AI for discovery, transformation, and refactoring. Define end to end architectures integrating traditional software, LLMs, vector stores, and orchestration. Drive AI adoption within Avanade Regions, enabling AI driven solution roadmaps. Contribute to solution planning and design across multi disciplinary and multi cloud environments. Develop accelerators, reference architectures, and reusable assets for agentic AI patterns. Guide engineering, data, and DevOps teams on AI automation and pipeline integration. Travel occasionally for high value client engagements. Skills and Experience 12+ years of experience designing and developing enterprise scale applications. Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture. Expertise in Java or C# as a primary language; hands on experience with Python, Rust, and TypeScript/JavaScript. Proven delivery experience applying agentic AI to modernise legacy systems or build new solutions. Hands on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns. Strong Azure expertise preferred, with hands on exposure to AWS and GCP. Experience integrating AI into distributed systems, microservices, APIs, and event driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands on experience applying agentic patterns in real delivery work. Comfortable working at the intersection of software engineering, AI, cloud, and automation. Clear communicator across technical and non technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. You can benefit from minimum 80 hours of training per year and paid certifications.

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

We're looking for a passionate and experienced Senior Software Developer to join one of our agile squads. In this role, you'll be hands on in designing, building, and enhancing features across the PCI Pal product suite, while also setting the technical standard through mentorship, code reviews, and driving engineering best practices. You'll collaborate closely with testers, product owners, and team leads to deliver high quality, maintainable solutions in a fast moving environment. With responsibilities spanning feature development, infrastructure support, and continuous learning, this is an opportunity to shape both the product and the team around you through expert level contribution and thoughtful technical leadership. The successful candidate must be within commuting distance to both London and Ipswich. This is a hybrid role with expectation that when required, the successful candidate can travel to one of our offices at least once per week. Job requirements Strong experience in modern C#, TypeScript, HTML and CSS Strong cloud platform experience, ideally AWS Strong CI/CD experience Strong experience of using infrastructure as code (e.g., CDK, Terraform) Experience developing serverless applications (e.g., Lambda) A strong focus on architecture and code quality Experience of modern UI frameworks such as Vue or React Have a good understanding of SOLID principles and how to use design patterns to create robust, maintainable and testable code Strong understanding of object oriented programming and Dependency Injection Strong experience of integrating with third party services using APIs Experience writing performance critical code Experience using Git or a similar tool to track changes Experience with both the full .NET Framework and .NET Core Experience using observability systems such as Elastic APM or DataDog to track and diagnose issues in production A solid understanding of security principles and secure coding including OWASP Top 10 Nice to haves: Experience in VOIP (SIP and RTP advantageous) Experience of TDD/BDD/DDD Knowledge of PCI compliance and associated standards such as ISO 27001 Knowledge of accessibility standards and how to apply them (WCAG) Experience with developing CRM plugins Experience of Python and Data Analytics Experience of developing AI applications Working as part of a close knit squad of developers and testers to design, build and deliver high quality solutions in line with guidance and best practices of the department Providing technical guidance and mentorship to other members of your team Drive best practices - SOLID principles, design patterns and refactoring existing code to be more maintainable and efficient Writing code to develop, fix or enhance features within the PCI Pal product suite Working with your team lead and product owner to plan and refine projects Helping to ensure the team delivers high quality features on time in a rapidly changing environment Supporting the management of web infrastructure and performing associated health checks as needed Building and maintaining an expert knowledge of PCI Pal's products, services, and deployment methodology Creating internal technical and process documentation for your work to ensure knowledge is shared with the wider engineering team Maintain high standards of software quality within the team by establishing good practices and habits Writing testable, scalable and efficient code and leading code reviews Supporting live products Learning new technologies and keep abreast of existing technologies and be able to apply these to your work What we offer 25 days holiday, rising to 28 days per annum with length of service Medical, dental and optical insurance cover An exciting and flexible working environment surrounded by friendly and committed co workers Electric Vehicle Scheme incentive 'Work from anywhere' 2 weeks per year policy Reward, benefits and wellbeing hub (offering support, discounts, cashback and savings) Training and development opportunities Ad hoc team events, incentives and competitions

Job Description The Software Engineering function in Ultra supports the software development lifecycle consisting of requirements analysis, design, implementation, test and verification in order to deliver software components into projects and products and supports the deployment and maintenance of software components. An individual in this role will provide technical leadership and oversight to the software engineering team of 20-30 software engineers. Define and roll out best practice processes and tools in terms of software development and ensure close collaboration with the hardware, systems and firmware development teams. Direct embedded and application software definition and requirements analysis, architecture, design, implementation, documentation and testing of embedded and application software for the software element(s) of multi discipline development programmes. Key Responsibilities Provide technical direction and exert technical influence across multiple projects, such that the optimal approach, architecture, design, code re use and tool chain are selected. Collaborate with various stakeholders to develop software requirements, architectures and designs that satisfy the system and security requirements, and design parameters and constraints, ensuring a high quality, modular, compliant and timely approach. Work with the software leads on a range of projects ensuring alignment to company processes and standards are maintained. Create development plans with software leads, engineering project leads and project managers to deliver or demonstrate value as early as possible to the customer. Work in a consultative approach across projects to help resolve issues with architecture, coding, or design in a timely manner. Work closely with the system architects and the wider systems engineering team to ensure design consistency, modularity and re use, focusing on technical excellence and process improvement and enabling a high quality library of reusable components. Apply object oriented design techniques to enable code re use and integration with testing frameworks. Specify, architect, design, document, review and maintain the software design using UML and SysML modelling tools such as RSA and Enterprise Architect, ensuring the model can be used for accurate code generation as required. Develop and maintain knowledge of best practice development and project engineering processes, language standards and tools, e.g. TDD/BDD, Continuous Integration, DevOps, DevSecOps, static and run time analysis tools, C#, C++, Rust standards and secure software development. Propose improvements in tools, processes and techniques that support quality and innovation and make the software development more efficient and effective, where appropriate. Actively contribute to the software community of practice, sharing new tools and techniques to advance the knowledge and efficiency of the software team. Mentor and coach less experienced engineers; share knowledge willingly and constructively. Review and sign off significant technical documents; frequently chair technical reviews for significant deliverables. Explain technically complex concepts clearly to less technical or involved parties. Generate and review technical proposals, and provide estimates for the associated effort, costs and risks for bids and proposals, leading to contract awards. May manage a team of up to four engineers. Manage security of information as defined in the Security manual to ensure compliance with Government regulations. Qualifications & Experience SFIA Programming / Software Development: Levels 2-5. SFIA Programming / Software Development: Level 6. Develop organisational policies, standards and guidelines for software construction and refactoring. Plan and lead software construction activities for strategic, large and complex development projects. Adapt or develop new methods, organisational capabilities and drive adoption of, and adherence to, policies and standards. Advanced knowledge and experience of at least one of the following: C/C++, Rust, embedded product development (including RTOSes), Windows and Linux application and driver development. Expert knowledge of software engineering practices, methodologies, processes, techniques and technology trends. Track record of delivering complex software solutions on schedule and meeting or exceeding customer needs. Experience with version control, change control and bug tracking tools and systems, including administrative tasks. Experience defining and rolling out best practice firmware development processes/lifecycles, continuous integration and automated test tools and frameworks. Experience deploying coding standards for defence, space or air worthiness techniques and standards such as MISRA. Experience in DOORS, UML and SysML is advantageous. Sound knowledge of crypto design/implementation and high grade, high assurance development processes. Degree in an engineering, mathematical or science based subject. Security Clearance Candidates must be willing and able to obtain, and maintain, DV security clearance. Due to the nature of the programs we deliver for our customers, candidates may need to obtain the relevant security clearance or handle export controlled material as defined by the role's requirements. Applicants must be able to obtain and maintain the appropriate level of security clearance for the role. Due to the nature of our work, you must be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV. Benefits Participation in an Annual Bonus Scheme Private Medical Cover 25 days' holiday (plus Bank Holidays) with the option to buy an extra 5 days Pension Contribution 4 Life Assurance Cover Flexible working hours with opportunity for a 1pm finish on a Friday Security Clearance Allowance - where relevant and subject to you holding the required security clearance Flexible benefits including cycle to work scheme, will writing and more Diversity, Equity & Inclusion Statement We are an equal opportunity employer and value diversity and inclusivity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We also support requests for flexible working arrangements wherever possible.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with full stack development, across back-end such as Java, Python, Kotlin, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Experience with relational databases and writing SQL queries. Experience with software architecture, API design, and distributed systems. Preferred qualifications: Experience with Machine Learning, Generative AI, large language models (LLMs). Experience working with server platform, Apps Framework, and Spanner. Interest or experience in Trust and Safety, fraud prevention, or identity verification. Familiarity with frontend development using server platform Web or similar TypeScript-based frameworks. Demonstrated ability to perform data analysis to drive engineering and product decisions. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer on the Actor Safety team, you will contribute to the full-lifecycle development of the team's moderation and verification platform. People shop on the company more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for the company Commerce is to be an essential part of the shopping journey for consumers - from inspiration to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world. Responsibilities Design and build robust backend services and evolve our verification platform into a centralized orchestration engine, managing complex state transitions and integrating with various identity and verification providers. Design, build, deploy, and iterate on machine learning models (including LLMs) to detect spam and abuse in Shopping. Collaborate closely with product managers, data analysts, operations teams, and other engineering teams to understand requirements, translate them into technical solutions, and deliver impactful results. Analyze data to identify patterns of abuse, measure the effectiveness of our systems, and guide future improvements. Contribute to the team's engineering excellence by maintaining and improving the reliability of the production system, participate in teams oncall and contribute to code reviews, documentation, and overall system health. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

United States Digital Space LLC is seeking a Software Engineer to develop next-generation technologies that revolutionize user interactions. This position requires expertise in software development across various languages, particularly in full-stack environments. You will collaborate with teams to enhance verification platforms and contribute to machine learning projects. The ideal candidate will have a Bachelor's degree and extensive experience in programming. Join us in ensuring a robust and innovative system while enjoying a diverse and inclusive workplace.

At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.

At the company Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLE Our Full Stack Engineers sit within Digital Excellence, part of the Business Technology practice in the company Invent, which leads digital transformation projects across the company. We are a new and dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. We work in diverse multi-disciplinary teams, hand in glove with our clients. Our Java Full Stack Engineers are responsible for creating the visions of our clients and driving better business outcomes. They are tasked with building cutting edge digital solutions for our clients, combining a clear understanding of business value and a consultative approach to make the difference. They will be able to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. YOUR PROFILE Extensive experience of building microservices with Java (Spring Boot) Experience using JavaScript/Typescript to build fronted web applications using React, HTML and CSS Experience using version control software - Git Experience using online version control tools - GitHub, GitLab etc Experience using Docker, Docker Compose Experience with CI/CD (Gitlab, GitHub, Jenkins) Experience with cloud technologies such as AWS or Azure Experience working in an agile team environment Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres Familiarity with web standards, accessibility, and development best practice Bonus Building microservices in C# Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc. Using the GOV.UK Design System and using Nunjucks WHAT YOU'LL LOVE ABOUT WORKING HERE We offer engineers a culture of learning, ownership, and focus on value. You'll gain exposure to high profile transformations and hands on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). The company offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: the company has a unique training environment just outside of Paris, where we can immerse ourselves in thought leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. There are monthly team drinks and breakfast events to connect face to face with the wider team and discuss trends and insights. Team away days are always a chance to connect with the team, have fun and learn something new. NEED TO KNOW We actively work inclusion, building environments where you can bring your whole self to work. We aim to build an environment where employees enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us. We have trained Mental Health Champions across each of our business areas and invested in wellbeing apps such as Thrive and Peppy. CSR We're focused on using tech to have a positive social impact, reducing our own carbon footprint and improving access to a digital world. We were named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. Office base locations include London, Manchester or Glasgow. You must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. Remuneration We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent on grade, company and personal performance. Eligibility In order to commence a role with the company you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the United Kingdom.

At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The MLQA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution (numerical accuracy, performance analysis and benchmarking). Work closely with all software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Experience in production quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem solving skills and a proactive, self directed approach to work. Bachelor / Master / PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow. Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines. Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA based systems. Experience with people management or mentoring. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following three questions will remain confidential and will not impact or be used in any way in regards to your application. We are only using this data to improve our hiring process to be inclusive of all diversity backgrounds.

Your Mission As a Senior Software Engineer at the company, you will play a crucial role in shaping the future of the company's technology, driving innovation, and ensuring we deliver a seamless, high-performance experience for our merchants across Europe. You will work with diverse, cross functional teams to design, develop, and maintain core components of our systems that power various aspects of our business, from payments processing and core banking to merchant lifecycle management and internal operations. Your contributions will directly impact our merchants' success, enabling them to thrive in an increasingly competitive landscape. As a Senior Software Engineer at the company, you will be expected to: Design, develop, and maintain clean, efficient, secure, and well tested code to support critical business needs, ensuring scalability, performance, and reliability across the company's systems. Take ownership of features and projects throughout the full software development lifecycle, including scoping, design, development, testing, deployment, and maintenance. Collaborate closely with cross functional teams (including product, design, data science, security, and operations) to understand requirements, provide technical insights, and contribute to architecture discussions. Build tools and integrate systems to enhance operational efficiency, reliability, and scalability of products across the business. Contribute to process improvements, focusing on continuous integration, delivery, and deployment to ensure a smooth and stable development pipeline. Participate in code reviews, share feedback constructively, and help elevate the overall quality and performance of the team's output. Mentor and support fellow developers, fostering a collaborative and innovative environment. Stay updated with the latest trends and technologies in software engineering, payments, and fintech, proactively identifying opportunities for improvement and innovation. Assist in troubleshooting complex issues related to our systems, providing timely resolutions to ensure uninterrupted service for our customers. Help define and promote best practices in software development, including code quality, testing, automation, and security. Serve as a subject matter expert in key areas, providing guidance and support to other teams. Requirements 5+ years of professional software development experience, with a solid understanding of backend systems, scalable architectures, and software design principles. Expertise in Java (17+), Spring Boot, and modern backend engineering practices. Experience with system design and architecture, including object oriented design patterns, microservices architecture, and API development. Experience building systems for high throughput, low latency, and reliability. Experience in data structures and performance trade offs. Excellent communication skills with the ability to influence and align stakeholders. Strong problem solving skills and the ability to debug complex issues across multiple systems or services. Experience working in an Agile/Scrum development process. Ability to work well as part of a team and independently in a fast paced environment. Nice to have Degree in computer science, engineering, or a related field. Previous experience in the Payments Industry, fintech, or Location and Business Recommendation Services platforms. Experience with cloud infrastructure (AWS, Kubernetes, Helm). Experience with current or specific frameworks, SDKs, APIs, and libraries relevant to the company's technology stack (e.g. Laravel, Spring, Reactor). Familiarity with authorization systems (e.g., RBAC, ABAC, SpiceDB). Experience with Behavior Driven Development (BDD) or Test Driven Development (TDD). Experience with CI/CD pipelines. The Perks Flexible working hours that suit both you and your team. Health Insurance. Physical and mental health support through our partnership with MyFitness. 25 days of Annual leave (+ Bank Holidays). Possibility to visit other company offices to meet colleagues when travel is safe and appropriate. Friday lunch in the office. Friendly, comfortable, and high end work equipment and informal office environment. Hybrid work mode policy. Equal Opportunity Employer We are committed to creating an inclusive environment where everyone, regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background, can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process-whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Description Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a first stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. On Prime Video, customers can customize their viewing experience and find their favourite movies, series, documentaries, and live sports - including Amazon MGM Studios produced series and movies Fallout, Heads of State, Reacher, Red One, Road House, The Accountant 2, The Boys, The Lord of the Rings: The Rings of Power, and The Summer I Turned Pretty; UK produced Originals such as The Girlfriend, Steal, Clarkson's Farm, Molly Ma: Behind it All, My Fault: London and Last One Laughing UK; licensed fan favourites such as Nine Perfect Strangers S2 and The Assassin; Prime member exclusive access to coverage of live sports including UEFA Champions League and NBA, and acclaimed sports documentaries including, Built in Birmingham: Brady & the Blues, Sven and the Amazon Original All or Nothing franchise, including All or Nothing: Arsenal. If this sounds exciting to you, please read on. You will directly deliver innovative, exciting experiences on the web and other surfaces with emerging AI technologies to meet customers where they are. Key job responsibilities You will work as part of one of our 2 pizza teams, launching and growing new initiatives for Amazon's global business. You will be a significant independent contributor, owning highly impactful business outcomes. You will collaborate closely with Product Managers, Program Managers, UX Designers, Engineering partners, and Leadership across the company to deliver those outcomes. You will regularly challenge the status quo, and implement high standards of operations on your team. You will mentor and grow the next generation of engineers, as well as pursue opportunities to grow your own skills and career. A day in the life You will be a confident full stack engineer. You will own the end to end delivery of customer and platform features - working with full stack web technologies (TypeScript, JavaScript, HTML, Sass), back end APIs and webservers (Java, Scala), testing (Storybook, Playwright), and infrastructure (AWS, CDK). You will review code, design documents, and plan your work using standardised tools, and processes with your team. You will work with product, program, and UX owners to define, refine and iterate on prototypes. About the team Our team owns the customer experience of some of the major entry points on Prime Video for video discovery, we drive complex business problems, build global technology solutions to provide customised compelling content to customers in each country where we operate. The team enables Prime Video customers to instantly discover, search, navigate, browse content, and manage preferences, primarily across website platforms using any modern web browser on any device anywhere in the world. The website team is a highly diverse and inclusive group, with passion for building real world solutions, experimentation and innovation at the core of our initiatives. We aim for keeping a self sustainable process of improvement in our tech stack, moving fast for creating new functionalities and delivering for strategic projects across Prime Video. We foster a culture of innovation and continuous growth, building a strong team and setting time for enjoying our work and having fun outside it. Basic qualifications Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Experience in professional, non internship software development Experience programming with at least one modern language such as Java, C++, or C# including object oriented design Preferred qualifications Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

JOB DESCRIPTION Are you passionate about building innovative technology that powers AI and machine learning across a global organization? As part of our team, you'll help shape the future of model deployment at scale, collaborating with talented engineers and data scientists. You'll have the opportunity to work on impactful projects, grow your skills, and contribute to a platform that drives real business outcomes. We value creativity, collaboration, and a commitment to excellence. As a Software Engineer in the Firmwide AI/ML Deployment Platform team, you will design and develop cloud-native solutions that support model deployment across the organization. You will work closely with data scientists and engineers to deliver features that streamline production workflows. Your contributions will help scale our platform to meet the needs of diverse internal clients, ensuring reliability and innovation. You will be part of a collaborative environment focused on continuous improvement and technical excellence. Job Responsibilities Build and deploy infrastructure solutions for seamless integration of control plane and client accounts Develop and implement APIs for platform functionalities such as automated retraining, scheduling, endpoint deployments, and autoscaling Design robust features to support a growing internal customer base, including multi-region and disaster recovery capabilities Architect and implement model monitoring solutions, with emphasis on LLM monitoring and automated issue correction Engage with clients to identify strategic solutions and provide deployment and debugging support Assist in implementing platform capabilities aligned with product requirements Deploy infrastructure and develop managed environments for platform operations Required Qualifications, Capabilities, and Skills Knowledge of AWS services and cloud-based infrastructure Experience building resilient software platforms Proficiency in architecting software solutions at scale Ability to design solutions with strategic insight Preferred Qualifications, Capabilities, and Skills Familiarity with monitoring tools, especially for AI/ML model monitoring Proficiency in Golang Experience with AWS Sagemaker for model training and deployment Familiarity with Kubernetes and managing deployments to EKS Knowledge of networking concepts such as Virtual Private Clouds and DNS Experience working with LLMs Experience with Terraform or other Infrastructure as Code tools Experience in API development and design 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.

JOB DESCRIPTION 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 Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. 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.