JPMorgan Chase & Co.

Software Engineer III - AWS, Python, Snowflake

JPMorgan Chase & Co. Hyderabad, Telangana, India

Financial Services · 10,001+ employees

6 h ago
python Mid (2-5 yrs) Full-time India
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About the role

You will design and deliver secure, scalable technology products as a member of an agile team. Responsibilities include executing software solutions, troubleshooting technical problems, and leveraging AI-assisted tools to improve code quality and delivery speed.

What they look for

Python Terraform Snowflake AWS System Design Application Development Troubleshooting Root Cause Analysis Software Development Life Cycle CI/CD Application Resiliency Security Java AWS ECS Data Visualization Agile Methodologies

Requirements

The role requires 3+ years of applied experience in software engineering, system design, and production support. Proficiency in Python, Terraform, Snowflake, and AWS is essential, along with a solid understanding of agile methodologies and secure coding practices.

Full 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 JPMorganChase within the AI/ML & DATA 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 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 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 in system design, application development, testing, and production support
  • Strong proficiency in programming/automation technologies such as Python and Terraform
  • Excellent troubleshooting skills with experience in root cause analysis and preventative fixes
  • Working knowledge of the Software Development Life Cycle, including source control and delivery tooling
  • Excellent knowledge of Snowflake and AWS
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • 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.
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Knowledge on JAVA and AWS ECS solutioning.
  • Exposure to AWS cloud technologies

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