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Software Engineer III

JPMorgan Chase
Mumbai, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 6 days ago
awsjavajenkinspythonreactspark

Full Job Posting

Job Responsibilities

  • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches to solve complex technical problems.
  • Build secure, high-quality production code and scalable services, with strong focus on reliability, resiliency, and performance.
  • Design and develop AI-powered capabilities, including AI agent-based workflows, and integrate ML models into production applications.
  • Leverage enterprise-authorized AI coding assistants (Claude/Copilot) in day-to-day engineering activities (coding, refactoring, test generation, documentation), while validating outputs through peer review, testing, and secure coding practices.
  • Develop and optimize cloud-native solutions on AWS, including backend services, data integrations, and platform components.
  • Work with SQL databases to design schemas, write performant queries, and ensure data quality and consistency across systems.
  • Produce architecture and design artifacts and ensure software implementations align with design constraints and enterprise standards.
  • Collaborate across product, data, and engineering teams in agile delivery; participate in code reviews, incident response, and continuous improvement initiatives.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification in software engineering concepts with 4+ years of applied experience.
  • Demonstrated proficiency in AI agent development and practical understanding of machine learning model lifecycle and integration patterns.
  • Hands-on experience using enterprise-authorized AI-assisted development tools (Claude/Copilot) with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Strong hands-on experience with AWS services and cloud engineering best practices.
  • Solid experience with SQL databases, query optimization, and relational data modeling.
  • Strong knowledge of Software Development Life Cycle practices, including CI/CD, application resiliency, and security controls.
  • Must meet at least one of the following capability tracks:
  • Track A (Python/Data Engineering): Strong Python backend development with ETL/data pipeline experience using Spark/PySpark.
  • Track B (Java Full Stack): Strong Java backend development (e.g., Spring Boot) plus frontend development experience with React.

Preferred Qualifications, Capabilities, and Skills

  • Exposure to public cloud technologies – AWS
  • Experience implementing CI/CD and infrastructure automation using Terraform plus pipeline/release tools such as Jenkins and Spinnaker.
  • Knowledge of responsible AI practices, including secure data handling, traceability, and governance in regulated environments.
  • Prior experience in financial services or other highly regulated enterprise domains.

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