Lead Software Engineer, Full Stack

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms Data Center Services team youare 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. You will take ownership of technical delivery end-to-end while actively engaging with stakeholders to translate business needs into well-planned high-quality software solutions. This role demands a self-starter who thrives in a collaborative environment can manage competing priorities and drives engineering excellence across the team.

Job responsibilities

• Design develop and deliver full stack software solutions across frontend (React) and backend ( Python) services applying strong problem-solving skills to break down complex technical challenges.
• Engage directly with stakeholders and product owners to gather requirements clarify scope and ensure technical solutions align with business objectives.
• Lead development planning activities including backlog refinement sprint planning effort estimation and technical roadmap definition ensuring the team delivers incrementally and predictably.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test strategy acceleration incident/root-cause analysis support) while establishing consistent validation standards (secure coding peer review automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.
• Develop secure high-quality production code and review peers work to maintain consistency reliability and adherence to engineering standards.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of applications and systems.
• Maintain clear and organised documentation including technical designs architecture decisions and runbooks ensuring knowledge is shared and accessible.
• Leverage AI-assisted development tools (e.g. GitHub Copilot AI code review assistants) to improve productivity code quality and delivery speed and champion their effective adoption within the team.
• Participate in communities of practice across Software Engineering to drive awareness and adoption of modern tooling patterns and best practices.
• Mentor and support junior engineers

Required qualifications capabilities and skills

• Bachelors Degree in Computer Science Cybersecurity Data Science or related disciplines
• Formal training or certification in software engineering concepts and 5 years of applied experience delivering production software.
• Hands-on practical experience across the full Software Development Life Cycle including system design application development testing CI/CD pipelines and operational support.
• Strong proficiency in frontend development with React (including state management and testing with Jest/React Testing Library).
• Advanced knowledge in backend development using and TypeScript to build RESTful APIs along with strong experience in writing and maintaining comprehensive unit functional and integration tests.
• Demonstrated ability to communicate effectively with technical and non-technical stakeholders translating business requirements into actionable technical plans.
• Experience working collaboratively in agile teams and participating in Scrum ceremonies (stand-ups retrospectives sprint planning); experience facilitating or running ceremonies.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security.
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe compliant adoption within delivery practices
• Experience with databases such as MySQL or similar along with exposure to cloud platforms and infrastructure-as-code practices and familiarity with API documentation standards such as OpenAPI/Swagger.

• Experience with other modern frontend frameworks (e.g. Angular). Experience with Python for backend services or tooling.
• Proficiency with design and prototyping tools such as Figma for collaborating on UI/UX requirements is highly desirable.
• Experience with traditional AI/ML such as predictive analysis is highly desirable.