JPMorgan Chase & Co.

Director of Software Engineering - Backend ( Java, AWS, AI)

JPMorgan Chase & Co. Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

7 h ago
java Principal (10+ yrs) Full-time India
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About the role

The Director of Software Engineering will lead technical areas and drive innovation by overseeing complex projects and cross-functional teams. They are responsible for setting governance for AI-enabled engineering and ensuring the delivery of high-quality, scalable technical solutions.

What they look for

Java AWS AI Software Engineering Leadership Product Management SDLC Automation Cloud Native Data Expertise Financial Domain Governance Architecture Design Team Management Strategic Planning

Requirements

Candidates must have over 10 years of experience in software engineering with at least 5 years in a leadership role within the financial domain. Proficiency in cloud-native technologies, AI-led engineering practices, and strong expertise in computer science or a related technical field is required.

Full description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within the Consumer & Community Banking , you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

  • Single threaded owner for delivering end-to-end impactful technical solutions collaborating with the product, business partners and other Engineering teams.
  • Leads technology and process implementations to achieve functional technology objectives
  • Sets 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 (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse 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 at scale.
  • Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Delivers reusable technical solutions that can be leveraged across multiple businesses and domains
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
  • Champions the firm’s culture of diversity, opportunity, inclusion, and respect
  • Champions every day innovation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise

  • Leadership Experience in Financial domain with strong Engineering and Data expertise
  • Experience in championing AI led engineering and delivering significant productivity gains
  • Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
  • Experience developing and leading cross-functional teams of technologists
  • Experience with hiring, developing, and recognizing talent
  • Practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
  • A continuous learner and demonstrate ability to adapt and lead a change.

Preferred qualifications, capabilities, and skills

  • Experience in Wealth Management Sub-Domain
  • Experience in working with Lead Management.
  • Experience working at Architecture and Design Level

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