About this role
Salary: £100,000 - 100,000 per year
Requirements: Formal training or certification on software engineering concepts and 10 years of applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced knowledge and demonstrated skills in programming languages C and C++Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment, with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectationsExperience coaching senior engineers and leads on compliant usage patterns and controlsAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines, such as cloud, artificial intelligence, machine learning, or mobileAbility to tackle design and functionality problems independently with little to no oversightPractical cloud native experienceExperience in Computer Science, Computer Engineering, Mathematics, or a related technical fieldHands-on experience working within the Financial Services IndustryHands-on experience with high-throughput and low-latency systemsHands-on experience in electronic trading systems Responsibilities: Provide technical guidance and direction to support the business, technical teams, contractors, and vendorsDevelop secure and high-quality production code, and review and debug code written by othersDrive decisions that influence product design, application functionality, and technical operations and processesServe as a function-wide subject matter expert in one or more areas of focusContribute to the engineering community as an advocate of firmwide frameworks, tools, and Software Development Life Cycle practicesInfluence peers and project decision-makers to consider leading-edge technologiesAdd to the team culture of diversity, opportunity, inclusion, and respectDrive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomesEstablish measurable validation standards, including secure coding, peer review, and automated testingPromote reuse of proven patterns and automation within the SDLC and TLM toolchainApply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale Technologies: AICloudSupportMachine LearningMobileSecurity More:
hackajob is partnering directly with JPMorganChase to hire for this role. We are seeking a Senior Lead Software Engineer to join our agile Commercial & Investment Bank eTrading team. We work to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way, driving significant business impact through deep technical expertise and problem-solving. J.P. Morgan is a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach drives everything we do, and we value diversity, inclusion, and reasonable accommodations. Our Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, operating in more than 100 countries.
last updated 37 week of 2026