JPMorgan Chase & Co.

Software Engineer III - Python, Pyspark, AWS, Snowflake

JPMorgan Chase & Co. Hyderabad, Telangana, India

Financial Services · 10,001+ employees

8 h ago Closes in 4d
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 issues, and leveraging AI-assisted tools to improve code quality and delivery speed.

What they look for

Python Java AWS Snowflake Pyspark System Design Application Development Agile Methodologies CI/CD Application Resiliency Security AI-assisted Development Database Querying Technical Troubleshooting Cloud Technologies Databricks

Requirements

Candidates must have 3+ years of applied experience in software engineering with proficiency in Python or Java, AWS, and Snowflake. You should possess strong skills in system design, application development, and familiarity with agile methodologies and CI/CD 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 Consumer and Community Banking Line-of-Business, 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 standard software solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications and applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and 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

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 operational stability using Python/Java, AWS and Snowflake
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Demonstrable ability to code in one or more languages
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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
  • Familiarity with Databricks or Icerberg
  • Exposure to cloud technologies

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