Software Engineer III- Pythonnew
JPMorgan Chase (JPMC) · Other
- All Software Engineer Iii jobs
- Technology & Engineering
- Bengaluru, Karnataka, India
- Professional · Full time
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 Infrastructure Platforms 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 will help automate the DataCenter Fabric build end-to-end using an event-driven architecture, delivering high-quality automation products to internal stakeholders and partnering closely with engineers to drive innovation and operational excellence.
Job responsibilities
As a Software Engineer III at JPMorgan Chase within the Infrastructure Platforms 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 will help automate the DataCenter Fabric build end-to-end using an event-driven architecture, delivering high-quality automation products to internal stakeholders and partnering closely with engineers to drive innovation and operational excellence.
Job responsibilities
- Executes software solutions, design, development,and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems—specifically for end-to-end Fabric build automation.
- Creates secure and high-quality production code and maintains services that integrate reliably with upstream/downstream systems.
- Develops and maintains microservice-based applications and APIs, ensuring performance, resiliency, and secure integration patterns.
- Delivers high-quality features in every sprint through strong engineering practices (e.g., code review, automated testing, CI/CD, and operational readiness).
- Takes ownership of bug fixes and addresses enhancement requirements based on internal stakeholder feedback.
- 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
- Demonstrates and contributes to a team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and ensuring operational stability.
- Strong proficiency in Python, including hands-on development with Django and/or Flask.
- Hands-on experience building microservice-based applications and designing/developing APIs.
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming language(s) and database query language(s).
- Experience deploying applications using CI/CD pipelines and modern deployment practices.
- Good overall understanding of the Software Development Life Cycle (SDLC).
- 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.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Experience with cloud-based technologies; Kubernetes and Docker knowledge is a plus.
- Good understanding of networking fundamentals; basic CCNA certification is a plus
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