Kubernetes

JPMorgan Chase & Co.•Tampa, FL

About The Position

As a Software Engineer III on JPMorganChase's Payments Common Core Services team, you will serve as a seasoned member of an agile team designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will carry out critical technology solutions across multiple technical areas and business functions in support of the firm's business objectives. The role involves software design, development, troubleshooting, production-code quality, architecture and design artifacts, and using data insights to improve applications and systems. You will also use enterprise-authorized AI coding-assistance tools responsibly to improve quality and productivity, validating their outputs through peer review, automated testing, and secure coding standards. JPMorganChase is a financial institution serving consumers, businesses, and corporate, institutional, and government clients. The position is within the Commercial & Investment Bank, which provides banking, markets, securities services, and payments globally.

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in a large corporate environment using Java, Spring Boot, microservices, REST API development, and one or more database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools.
Understanding of responsible AI use in engineering workflows and ability to guide peers.
Experience with distributed databases and Jenkins CI/CD pipelines.
Overall knowledge of the Software Development Life Cycle.

Nice To Haves

Exposure to AWS cloud technologies such as EC2, EKS, RDS, S3, or Lambda.
Practical experience using AI-assisted developer tools and AI agents such as Copilot, Claude Code, or equivalent to improve engineering productivity, code quality, and knowledge acquisition.
Kubernetes and infrastructure-as-code experience, such as Terraform.
Containerization experience, such as Docker images and containers.

Responsibilities

Execute software solution design, development, and technical troubleshooting, using approaches beyond routine or conventional methods to solve technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding-assistance tools for code generation and refactoring, unit tests, and documentation; validate outputs through peer review, automated testing, and secure coding standards.
Share learnings and reusable patterns that improve broader team effectiveness.
Apply knowledge of the Software Development Life Cycle toolchain, including authorized AI-assisted development and automation capabilities, to increase the value of automation.
Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
Gather, analyze, synthesize, and visualize or report on large, diverse data sets to support continuous improvement of software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.

Benefits

Competitive total rewards package, including 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.
Comprehensive health care coverage.
On-site health and wellness centers.
Retirement savings plan.
Backup childcare.
Tuition reimbursement.
Mental health support.
Financial coaching.

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