LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
Forgot password?
Don't have an account?
or
Join Canary Wharfian
By signing up, you agree to our Terms & Conditions and Privacy Policy.
or

Software Engineer III - Java/AWS/Kubernetes

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 9 days ago

No clicks

**Software Engineer III - Java/AWS/Kubernetes: Essential Role at JPMorganChase** In Tampa, FL, we seek a Software Engineer III specializing in Java, AWS, and Kubernetes. Key responsibilities include architecting complex applications, delivering high-quality code, leveraging AI-assisted tools, and driving data-driven improvement. Required skills: 3+ years of Java/Spring Boot/Microservices experience, distributed databases, Jenkins CI/CD, and AI-assisted development. Preferred: AWS, Kubernetes, Terraform, and Docker. Secure, scalable product delivery awaits in our collaborative agile environment.

Compensation
Not specified

Currency: Not specified

City
Tampa
Country
United States

Full Job Description

Location: Tampa, FL, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

 

As a Software Engineer III - Java/AWS at JPMorganChase within the Payments Common Core Services team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

 

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, including code generation/refactoring, unit test creation, and documentation, while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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 through automation.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 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 with 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, including the ability to guide peers.
  • Experience with distributed databases and Jenkins CI/CD pipelines
  • Overall knowledge of the Software Development Life Cycle.

 

Preferred qualifications, capabilities, and skills

  • Exposure to AWS cloud technologies such as EC2, EKS, RDS, S3, or Lambda.
  • Practical experience using AI-assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition.
  • Kubernetes and infrastructure-as-code experience such as Kubernetes, Terraform
  • Containerization experience such as Docker images/containers
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III - Java/AWS/Kubernetes

Compensation

Not specified

City: Tampa

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

9 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer III - Java/AWS/Kubernetes: Essential Role at JPMorganChase** In Tampa, FL, we seek a Software Engineer III specializing in Java, AWS, and Kubernetes. Key responsibilities include architecting complex applications, delivering high-quality code, leveraging AI-assisted tools, and driving data-driven improvement. Required skills: 3+ years of Java/Spring Boot/Microservices experience, distributed databases, Jenkins CI/CD, and AI-assisted development. Preferred: AWS, Kubernetes, Terraform, and Docker. Secure, scalable product delivery awaits in our collaborative agile environment.

Full Job Description

Location: Tampa, FL, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

 

As a Software Engineer III - Java/AWS at JPMorganChase within the Payments Common Core Services team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

 

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, including code generation/refactoring, unit test creation, and documentation, while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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 through automation.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 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 with 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, including the ability to guide peers.
  • Experience with distributed databases and Jenkins CI/CD pipelines
  • Overall knowledge of the Software Development Life Cycle.

 

Preferred qualifications, capabilities, and skills

  • Exposure to AWS cloud technologies such as EC2, EKS, RDS, S3, or Lambda.
  • Practical experience using AI-assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition.
  • Kubernetes and infrastructure-as-code experience such as Kubernetes, Terraform
  • Containerization experience such as Docker images/containers
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team