Software Engineer III-Java/CI-CD

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru invites a Software Engineer III to join the Commercial & Investment Bank Payments Technology team. You will be part of an agile team designing and delivering reliable, secure, and scalable technology products.

The role focuses on producing secure production code, applying AI-assisted development tools, and contributing to architecture and data-driven improvements. Collaboration and robust deployment practices are essential.

Qualifications

• 3+ years of software engineering experience with Python or Java.
• Hands-on experience with CI/CD tooling (Jenkins, GitHub).
• Strong knowledge of Unix/Linux and shell scripting.
• Experience with Docker, Kubernetes, and cloud deployments.
• Familiarity with observability tools (Grafana, Prometheus) and IaC (Terraform).
• Understanding of SDLC and AI-assisted development/tools.
• Experience enabling release automation and AI-assisted DevOps.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to tackle non-routine problems.
• Creates secure, high-quality production code and maintains algorithms.
• Uses enterprise AI-assisted coding tools to improve quality, speed, and productivity with peer review.
• Applies SDLC tooling and IaC to improve automation and deployment.
• Produces architecture and design artifacts for complex applications, ensuring design constraints are met.
• Gathers and analyzes data to visualize and improve software applications.
• Identifies hidden data patterns to drive improvements in code hygiene and architecture.

Skills

Python/Java

Jenkins

GitHub

Unix/Linux

Shell scripting

AI DevOps

Release automation

Tools

Docker

Kubernetes

Terraform

Grafana

Prometheus

Job description

• Business Unit Commercial & Investment Bank
• Job Schedule Full time
• Job Shift Day

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

• 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