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Software Engineer III-Java/CI-CD
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Software Engineer III-Java/CI-CD
Chase BankFresher
- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
Job responsibilities
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown 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 (e.g., code generation/refactoring, unit test creation, 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 by 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 applied experience
- Hands-on experience with Python or Java. Proficiency with CI/CD tooling such as Jenkins and GitHub
- Strong working knowledge of Unix/Linux and shell scripting. Experience with Docker, Kubernetes, and Cloud deployments.
- Experience with observability and monitoring tools such as Grafana and Prometheus familiarity with scalable systems and release management. Experience with Infrastructure as Code (IaC), especially Terraform.
- Understanding of the Software Development Life Cycle (SDLC).
- Experience building or enabling release automation, including leveraging AI-assisted DevOps/infrastructure automation where appropriate.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations ability to guide peers on safe and effective usage within team practices.
- Overall knowledge of the Software Development Life Cycle
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
More Info
Job Type:
Function:
Employment Type:
Key Skills
AI-assisted DevOps Infrastructure Automation
AI-assisted Development
About Company
Skills:
Infrastructure as Code (IaC, Software Development Life Cycle (SDLC, Python, Java, Github, Grafana, shell scripting, Prometheus, Unix/Linux, Kubernetes, Docker, Terraform, Jenkins, observability and monitoring tools, release automation, CI/CD tooling, enterprise-authorized AI-assisted software development tools, AI-assisted DevOps infrastructure automation, responsible AI use in engineering workflows