JP Morgan Chase

Runs a consumer bank and an investment bank

Director of Software Engineering - Python

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering and 10+ years of applied experience, including 5+ years leading technologists to solve complex challenges.
Deep expertise in designing, developing, and modernizing large-scale enterprise applications with emphasis on scalability, resiliency, security, performance, and maintainability.
Strong hands-on development experience in Python and other programming languages, with aptitude for quickly adopting new technologies.
Advanced knowledge of modern software architecture, including microservices, distributed systems, API-first, event-driven, cloud-native, domain-driven design, and enterprise integration.
Practical experience with AI-driven engineering, including agentic AI frameworks, generative AI applications, AI-assisted tools, prompt engineering, and MCP-based integrations.
Demonstrated leadership in adopting agentic AI-enabled engineering practices, setting operating standards, measuring outcomes, and ensuring secure handling of sensitive data.
Proven ability to lead and develop cross-functional teams, including hiring and recognizing talent.

Responsibilities

Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
Set direction and governance for agentic AI-enabled engineering, driving measurable improvements in speed, quality, and operational outcomes, including AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration. Establish guardrails for validation, security, resiliency, traceability, and reuse across teams.
Lead technology and process implementations to achieve functional technology objectives.
Make decisions that influence team resources, budgets, tactical operations, and the development of software applications.
Carry governance accountability for coding decisions, control obligations, and success measures such as cost of ownership, maintainability, and portfolio operations.
Deliver technical solutions that can be leveraged across multiple businesses and domains.
Influence peer leaders and senior stakeholders across business, product, and technology teams.

Desired Qualifications

Experience building full-stack applications using Python, ReactJS, responsive design principles, and reusable component-based architectures.
Experience with compute platforms such as Kubernetes, containers, and cloud-native engineering practices.
Experience designing and implementing AI-powered solutions, AI orchestration frameworks, MCP-enabled integrations, retrieval-augmented generation architectures, and enterprise-scale automation platforms.

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

Overview
As a Director of Software Engineering at JPMorgan Chase within Infrastructure Platforms, you will lead a technical area and drive impact across teams, technologies, and projects. Leveraging your deep expertise in software engineering design, architecture, and technical solutions, you will oversee multiple complex projects and initiatives, serve as the primary decision maker for your teams, and champion innovation and solution delivery. Your leadership will be instrumental in advancing engineering excellence, modernizing enterprise applications, and implementing AI-enabled practices across the organization.

Job responsibilities

Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
Set direction and governance for agentic AI-enabled engineering, driving measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration). Establish guardrails for validation, security, resiliency, traceability, and reuse across teams.
Lead technology and process implementations to achieve functional technology objectives.
Make decisions that influence team resources, budgets, tactical operations, and the development of software applications.
Carry governance accountability for coding decisions, control obligations, and success measures such as cost of ownership, maintainability, and portfolio operations.
Deliver technical solutions that can be leveraged across multiple businesses and domains.
Influence peer leaders and senior stakeholders across business, product, and technology teams.

Required qualifications, capabilities, and skills

Formal training or certification in software engineering and 10+ years of applied experience, including 5+ years leading technologists to solve complex challenges.
Deep expertise in designing, developing, and modernizing large-scale enterprise applications with emphasis on scalability, resiliency, security, performance, and maintainability.
Strong hands-on development experience in Python and other programming languages, with aptitude for quickly adopting new technologies.
Advanced knowledge of modern software architecture (microservices, distributed systems, API-first, event-driven, cloud-native, domain-driven design, enterprise integration).
Practical experience with AI-driven engineering, including agentic AI frameworks, GenAI applications, AI-assisted tools, prompt engineering, and MCP-based integrations.
Demonstrated leadership in adopting agentic AI-enabled engineering practices, setting operating standards, measuring outcomes, and ensuring secure handling of sensitive data.
Proven ability to lead and develop cross-functional teams, including hiring and recognizing talent.

Preferred qualifications, capabilities, and skills

Experience building full-stack applications using Python, ReactJS, responsive design principles, and reusable component-based architectures.
Experience with compute platforms such as Kubernetes, containers, and cloud-native engineering practices.
Experience designing and implementing AI-powered solutions, agent orchestration frameworks, MCP-enabled integrations, RAG architectures, and enterprise-scale automation platforms.
Passion for continuous learning, technology modernization, mentoring engineers, and driving innovation through AI-enabled engineering practices.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

Recently Posted Jobs

Explore more opportunities at JP Morgan Chase

See more jobs