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

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JP Morgan Services India Pvt Ltd in Bengaluru seeks a Director of Software Engineering (Backend) to lead a technical area, drive AI-enabled delivery, and oversee end-to-end engineering initiatives across departments.

The role requires strong leadership, cloud-based architecture, and governance experience in the financial domain, with emphasis on AI-driven productivity and secure scalable solutions.

Qualifications

• 10+ years of software engineering experience.
• 5+ years leading technologists to manage complex technical items.
• Experience in financial domain engineering and data expertise.
• Experience championing AI-led engineering and enterprise AI tooling adoption.

Responsibilities

• Single threaded owner for end-to-end technical solutions across teams and departments.
• Set direction and governance for AI-enabled engineering and SDLC automation.
• Influence resource allocation, budgets, and process implementation decisions.
• Deliver reusable technical solutions across multiple businesses and domains.
• Lead cross-functional teams and champion diversity and inclusion.

Job description

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