Job Description :
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's 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 (Node.js/TypeScript, 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
- Bachelor's 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 Node.js 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.
Preferred qualifications, capabilities, and skills
- 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.
