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Software Engineer III- Python

JPMorgan Chase · Posted Oct 27

Global banking, investment, credit card, mortgage, and asset management services

Bengaluru, Karnataka, IndiaFull-timeOnsiteMid Level3+ years₹20.0L–₹32.0L yearly<25 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

The Infrastructure Platforms team at JPMorgan Chase builds and delivers secure, stable, and scalable technology products for the firm. The team focuses on automating DataCenter Fabric build end-to-end using an event-driven architecture and delivering high-quality automation products to internal stakeholders. This software engineering role designs and develops microservice-based applications and APIs, primarily using Python with Django and/or Flask, while applying strong engineering and CI/CD practices.

What you will do

  • 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.

Skills used in this role

PythonDjangoFlaskMicroservicesAPIsCI/CDSDLCKubernetesDockerCCNANetworkingCloudFrontendAI Coding Tools

What the employer is looking for

  • 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

  • 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

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company

Leadership

JD
Jamie Dimon

Chairman and Chief Executive Officer

JB
Jeremy Barnum

Chief Financial Officer

JP
Jennifer Piepszak

Chief Operating Officer

LB
Lori Beer

Global Chief Information Officer

MC
Mary Callahan Erdoes

CEO, Asset & Wealth Management

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