Software Engineer III - Backend

JPMorgan Chase & Co. • Palo Alto, CA

1d • $137,750 - $185,000

About The Position

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Digital & Platform Services team, you are a seasoned member of an agile team that designs and delivers trusted, secure, stable, and scalable technology products. You carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives.

The role focuses on designing, developing, testing, troubleshooting, and operating backend services and APIs. You will use Java and Spring Boot, OpenAPI, Kafka, SQL, scripting, cloud environments such as AWS or Azure, and Docker. You will create architecture and design artifacts, implement design constraints in code, and contribute to reliable delivery through CI/CD, automation, observability, and operational readiness. You will also use enterprise-authorized AI coding tools responsibly, validating their outputs for correctness, performance, and security and sharing effective practices with peers.

This position is subject to Section 19 of the Federal Deposit Insurance Act. An employment offer is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

JPMorganChase offers a competitive total rewards package, with base salary determined by role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity. Benefits and programs are based on eligibility. The company is an equal opportunity employer and provides reasonable accommodations for religious practices and beliefs, as well as mental health or physical disability needs.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Strong backend experience, including hands-on system design, application development, testing, and operational stability.
• Strong hands-on expertise in Java and Spring Boot, including REST services, dependency injection, testing patterns, and performance tuning.
• Experience designing and implementing APIs and defining contracts using OpenAPI Specification.
• Working experience with AWS and/or Azure cloud technologies and cloud-native engineering practices.
• Hands-on experience with Docker/containerization and deployment best practices.
• Experience with Kafka, including producers and consumers, event-driven architecture patterns, and reliability considerations.
• Proficiency in SQL and at least one scripting language for automation, troubleshooting, and data analysis.
• Hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective use.
• Overall knowledge of the SDLC and agile ways of working, including CI/CD, application resiliency, and security.

Nice To Haves

• Familiarity with modern back-end technologies, patterns, and frameworks beyond core Spring Boot.
• Exposure to the broader cloud-native ecosystem, including observability, infrastructure-as-code concepts, managed services, and security controls.
• Basic front-end knowledge, such as UI integration patterns, web fundamentals, or modern JavaScript frameworks.

Responsibilities

• Execute end-to-end software solutions through design, development, testing, and technical troubleshooting, building scalable solutions and breaking down complex technical problems.
• Create secure, high-quality production code and maintain reliable services and algorithms that integrate with dependent systems.
• Design and build backend services and APIs using Java and Spring Boot, following clean architecture, performance, resiliency, and security best practices.
• Define and implement API contracts using OpenAPI Specification (Swagger), ensuring consistent versioning, backward compatibility, and a strong consumer experience.
• Use enterprise-authorized AI coding assistant tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards, and contribute reusable patterns and learnings.
• Apply SDLC tools and practices, including CI/CD, automation, observability, and operational readiness, to improve delivery outcomes and reliability.
• Produce architecture and design artifacts for complex applications and ensure design constraints are implemented correctly in code.
• Build and maintain event-driven and streaming integrations using Kafka, including topic design, message schemas, consumer groups, and reliability patterns.
• Use SQL and scripting for development, troubleshooting, automation, and operational analysis.
• Build, deploy, and operate services in AWS and/or Azure cloud environments, troubleshoot production issues, and optimize cost, performance, and stability.
• Use Docker and containerization, along with applicable orchestration patterns, for consistent build and runtime environments.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed