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JPMorgan Chase & Co.

Principal Software Engineer - Java & Cloud

JPMorgan Chase & Co. · Hyderabad, Telangana, India

Financial Services · 10,001+ employees

9 h ago Closes in 6d
Principal (10+ yrs) Full-time India
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About the role

The role involves architecting scalable cloud-native platforms and implementing agentic AI-enabled engineering workflows to improve delivery speed and code quality. The engineer will serve as a subject matter expert, creating reusable software frameworks and influencing senior stakeholders across the organization.

What they look for

Java Go Lang AWS Cloud Architecture Agentic AI Distributed Systems Platform Engineering Microservices Docker Kubernetes CI/CD System Design Software Design Frameworks Product Management Agile SDLC

Requirements

Candidates must have a degree in computer science or a related field with over 15 years of experience, including expert proficiency in Java or Go and extensive AWS experience. Proven expertise in designing AI-driven development practices and leading products as a Product Owner is required.

Full description

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Job Responsibilities

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Architects and implements cloud-native platforms and infrastructure solutions at enterprise scale
  • Advises cross-functional teams on technological matters within domain of expertis
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, 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 at scale.
  • Serves as the function's go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across business, product, and technology teams
  • Champions the firm's culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities and skills

  • Bachelor’s or master’s degree in computer science, computer engineering, software engineering, or related technical field with 15+ years of applied experience
  • Hands-on, current programming experience delivering system design, application development, testing, and operational stability
  • Expert-level proficiency in Go Lang and/or Java with demonstrated ability to write production-grade code
  • Deep understanding of cloud infrastructure, with extensive hands-on experience in AWS. Proven track record of architecting and building cloud platforms from the ground up, including design, implementation, and production deployment
  • Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
  • Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in cloud technologies, distributed systems, and platform engineering
  • Experience applying expertise and new methods to determine solutions for complex technology problems in cloud architecture and infrastructure
  • Experience leading a product as a Product Owner or Product Manager. Ability to present and effectively communicate with Senior Leaders and Executives
  • Understanding of the business and how technology enables business outcomes
  • Practical cloud-native experience with microservices, containerization (Docker/Kubernetes), and CI/CD pipelines