Lead Software Engineer - Python, Gen AI

Company: JPMC

Location: Bengaluru, Karnataka, India

Type: Full-time

Posted: 2026-10-05

About this role

As Manager of Software Engineering at JPMorgan Chase within the Corporate Technology, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

  • **Design, code, test, and deliver automation** (including LLMs/agents) to eliminate manual operational work and streamline AO workstreams’ remediations (e.g., control items, security vulnerabilities, upgrades, and FARM findings).
  • **Govern application risk, controls, and compliance:** own adherence to firm standards, partner with Technology Risk & Controls, manage Technology Lifecyle Management (TLM), and drive closure of issues/findings (e.g., FARM) through effective remediation and evidence management.
  • **Own security and data accountability for the application:** ensure strong authentication/authorization, vulnerability and certificate hygiene, and proper data registration/classification plus compliant storage/retention/disposal.
  • **Coordinate across product and engineering at scale** to prioritize and drive execution with a clear sense of urgency for AO workstreams (including influencing/coaching teams and aligning execution across large developer communities).
  • Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
  • 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 and support capacity unlock initiatives.
  • **Run resilient, well-operated production services end-to-end:** implement monitoring/logging and anomaly detection, m...

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