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Lead Software Engineer - Java Full Stack, Python and AI

JPMorgan Chase & Co.
Bengaluru, IND
Full-time
Senior Level
Onsite
Discovered 3 weeks ago
Free

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  • Full stack delivery: Own features end-to-end from requirements and design through implementation, testing, deployment, and ongoing support.
  • Front-end development: Build responsive, maintainable user interfaces with strong attention to usability, accessibility, and performance.
  • Back-end development: Develop scalable services and APIs, including data access, business logic, and integration with upstream/downstream systems.
  • Cloud & DevOps: Contribute hands-on to cloud infrastructure, CI/CD pipelines, automation, monitoring, and operational readiness.
  • Quality & reliability: Apply best practices in testing, code review, observability, performance tuning, and incident readiness.
  • Security & controls: Build with secure-by-design practices (access control, secrets management, auditability, responsible data handling).
  • Technical leadership (IC): Influence architecture and standards, mentor engineers, and lead by example without formal people management.
  • 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.
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Strong proficiency in Java, JavaScript, and Python , plus experience with other modern languages/frameworks as needed.
  • Proven experience building both front-end applications and back-end services/APIs.
  • Experience with cloud platforms and modern delivery practices (automation, CI/CD, monitoring/observability).
  • Strong engineering discipline across testing, documentation, and maintainable design.
  • Excellent communication skills and ability to operate effectively in ambiguous environments.
  • 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
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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