Overview
As a Director of Software Engineering in the Autonomous Infrastructure and AI4Reliability team at JPMorgan Chase, you will lead a small, senior team designing, building, and operating tools and services that manage and heal infrastructure using AI and agentic flows. You will be a hands-on technical leader, owning production systems end-to-end, setting architecture and engineering standards, and fostering team growth. You will work AI-native across the software development lifecycle, ensuring correctness, security, reliability, and cost-effectiveness.
Job Responsibilities
- •Lead and grow a small team of senior engineers, fostering a high-performance, high-ownership culture
- •Own the design, delivery, and operation of enterprise-scale infrastructure services from architecture through production
- •Write and review production code, maintaining a hands-on approach and setting the bar for engineering quality
- •Establish AI-native engineering practices with robust validation standards to ensure speed never compromises correctness
- •Participate in an on-call rotation and act as an escalation point for production incidents, building operability and observability from the start
- •Analyze and optimize systems for scalability, efficiency, reliability, and performance
- •Decompose ambiguous problems into clear, executable work for both engineers and AI agents
- •Set direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes
- •Establish guardrails for validation, security, resiliency, traceability, and reuse across teams
- •Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities
- •Define success criteria, measure impact, and hold the team accountable to outcomes
- •Partner with stakeholders across the infrastructure organization, resolving technical disagreements and proactively raising risks
Required Qualifications, Capabilities, and Skills
- •Hands-on software engineering background with production coding experience in an industry-standard language such as Python, Go, Java, C++, or Rust
- •Experience running production systems at scale, including on-call ownership, incident response, and designing for reliability and operability
- •Experience leading or mentoring engineers and setting technical direction
- •Strong systems thinking, including interfaces, contracts, failure modes, and interactions at scale
- •Ability to direct AI tools for real engineering work, with sound judgment on where AI applies and where human expertise is required
- •Security-first mindset, integrating risk judgment from design through production
- •Clear, direct communication with engineers, stakeholders, and peers
- •Outcome orientation, focused on impact, reliability, and cost
- •Comfort operating with ambiguity and greenfield scope
- •Inclusive, collaborative leadership style, able to attract, grow, and retain strong senior engineers
Preferred Qualifications, Capabilities, and Skills
- •Track record of reducing operational toil and cost through automation and better engineering
- •Experience adopting AI-native engineering practices at team or organizational scale
- •Experience leading adoption of agentic AI-enabled engineering practices across teams, including defining operating expectations, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs
- •Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency and security implications, and governance
- •Ability to influence leaders on safe scaling patterns and reuse
- •Prior experience in regulated or large-scale enterprise environments in the payment industries
- •Experience with greenfield builds and establishing engineering culture
Location
Bengaluru, Karnataka, India
Block D, Parcel 8, Embassy Tech Village, Outer Ring Road, Devarabeesanahalli Village, Bengaluru, 560103