Director of Software Engineering - Regulatory Capital, Data and Experience

Fairygodboss; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Director of Software Engineering to lead a technical area across teams, drive innovation, and deliver complex initiatives. You will shape architecture, foster collaboration, and guide AI-enabled engineering practices at scale.

The role requires extensive experience in financial tech, cloud-native solutions, and strong leadership to align engineering with business goals while ensuring security and compliance.

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 (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

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, 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

Skills

Leadership

AI-enabled eng

SDLC automation

Architecture decisions

Stakeholder mgmt

Cloud-native

Mentoring

Tools

Databricks

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
• Familiarity with agile methodologies
• Knowledge of emerging industry trends