Director of Software Engineering - Regulatory Capital, Data and Experience

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Director of Software Engineering to lead regulatory capital initiatives within Corporate Technology. You will drive innovation, empower teams, and shape delivery across complex platforms, products, and AI-enabled processes.

You will guide architecture, coding standards, and SDLC governance while coordinating with business, product, and technology stakeholders to achieve strategic objectives. This role emphasizes security, resiliency, and scale.

Qualifications

• Formal training or certification on software engineering concepts and 10+ years applied experience.
• Tenured technologist operating within Financial and Technology domains for 15+ years.
• Experience leading adoption of agentic AI-enabled engineering practices across teams, including defining operating expectations, 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.

Responsibilities

• Provide visionary leadership and strategic direction for development and delivery of products, applications, and technologies.
• Serve as a hands-on engineering leader, guiding design patterns, coding standards, architecture decisions, and platform best practices.
• 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.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
• Translate complex technical challenges and emerging trends into actionable insights for senior leadership.
• Design and implement scalable, reusable software frameworks to enhance efficiency and collaboration.
• Build strong partnerships across business, product, and technology groups.
• Influence and manage relationships with stakeholders to achieve shared goals.

Skills

Software engineering concepts

Finance tech domain

AI-enabled engineering practices

Responsible AI governance

Cloud-native / microservices

Team leadership

Basel implementations

Gen AI

Databricks

Tools

Databricks

Job description

Director of Software Engineering - Regulatory Capital, Data and Experience

Job Information

• Job Identification 210730583
• Job Category Software Engineering
• Business Unit Corporate Sector
• Posting Date 08/27/2026, 09:31 AM
• Locations Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, IN-KA, 560103, IN
• Job Schedule Full time
• Job Shift Day

Job Description

Step into a leadership role where your vision shapes the future of technology. As a Director of Software Engineering, you’ll drive innovation, empower teams, and make a lasting impact on our organization’s success.

As a Director of Software Engineering at JPMorganChase within the Corporate Technology team, you lead a technical area and drive impact across teams, technologies, and projects. You utilize your expertise in software, applications, technical processes, and product management to deliver multiple complex initiatives. You serve as a primary decision maker for your teams, driving innovation and solution delivery while fostering collaboration and growth.

Job responsibilities

• Provide visionary leadership and strategic direction for development and delivery of products, applications, and technologies
• Serve as a hands-on engineering leader, guiding design patterns, coding standards, architecture decisions, and platform best practices
• 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.
• Translate complex technical challenges and emerging trends into actionable insights for senior leadership
• Design and implement scalable, reusable software frameworks to enhance efficiency and collaboration
• Build strong partnerships across business, product, and technology groups
• Influence and manage relationships with stakeholders to achieve shared goals

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Tenured technologist operating within Financial and Technology domains for 15+ years
• 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.
• Directly manage and provide high-level direction to teams working on cloud-native solutions, microservices, and user interface experiences
• Deep understanding of software engineering best practices, system design, testing, and operational stability
• Hands-on experience in Basel implementations, regulatory transformations, and advanced technologies like Gen AI

Preferred qualifications, capabilities and skills

• Experience with Databricks and other cloud-native platforms