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 JPMorgan Chase within the Employee Platform Chief Administration Office Technology, team, 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.

Job responsibilities

Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelop secure and high-quality production code, and review and debug code written by othersDrive decisions that influence the product design, application functionality, and technical operations and processesServe as a function-wide subject matter expert in one or more areas of focusActively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life CycleInfluence peers and project decision-makers to consider the use and application of leading-edge technologiesServe as a lead technologist to manage workload across Associate level software engineersAdd to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s); primarily React front-end development, Java core platform, and Python frameworks for applying against RESTful and GraphQL API developmentAdvanced 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.), including GitHub Copilot for developer assistant toolingAbility to tackle design and functionality problems independently with little to no oversightStrong knowledge of building cross-functional data integrated systems using API, data streaming via Kafka to allow for seamless data exchange under a unified end user experiencePractical cloud native experience, primarily in AWS while applying cloud concepts to private cloud platformsExperience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

Full stack development knowledge with strong enterprise architecture design concepts to allow for unified user experience leveraging data sharing capabilities with API, KafkaConceptual knowledge on building AI/ML foundational models to support Agentic AI orchestration including LLM componentsCase management workflow and orchestration to serve as the backbone of a unified user experience across multiple cross-functional teamsVibe coding experience and conceptual knowledge while leveraging developer assistant tools like GitHub Copilot to allow for efficiency gainsData modeling concepts and design