Principal Software Engineer - Java Full Stack, Cloud

JPMorgan Chase & Co.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru, India seeks a Principal Software Engineer to drive secure, scalable software across multiple portfolios.

You will lead design, development, and AI-enabled automation within Finance Technology, collaborating with senior leaders to raise engineering standards and delivery speed. The role requires deep expertise in Java, React, Spring Boot, and cloud-native practices, with a focus on responsible AI and enterprise-wide governance.

Qualifications

• 15+ years of software engineering with hands-on senior SME experience.
• Experience delivering secure, scalable systems and production code.
• Strong background in Java, ReactJS, and Spring Boot.

Responsibilities

• Creates scalable coding frameworks using established design patterns.
• Develops secure production code and reviews peers' work.
• Architects AI-enabled engineering workflows with guardrails for security and reuse.

Skills

Java

React

Spring Boot

Cloud Native

AI-enabled Dev

Stakeholder Comms

System Design

Tools

Databricks

Terraform

AWS

Job 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 JPMorganChase within the Finance Technology, 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 organisation 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 governs agentic AI-enabled engineering workflows (using enterprise-authorised 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-authorised AI-assisted development and automation capabilities, to improve the value realised by automation at scale.
• Advises cross-functional teams on technological matters within domain of expertise
• Serves as the function’s go-to subject matter expert
• Contributes to the development of technical methods in specialised 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Overall experience of 15+ years and currently working in the capacity of a hands-on Senior SME
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java, React JS and Spring Boot Framework
• Experience in AWS ECS, EKS and Terraform
• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorised 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.
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
• Ability to present and effectively communicate with Senior Leaders and Executives
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience of Financial/Regulatory Reporting
• Working experience on Databricks