Software Engineer III

JP Morgan Chase Bank; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

JP Morgan Chase is seeking a Software Engineer III in Bengaluru to join the US Wealth Management Tech organization. You will design and deliver scalable, secure data products, build ETL pipelines with PySpark and AWS Glue, and develop backend services in Java and Python.

You’ll contribute to CI/CD, infrastructure as code, and AI-assisted data workflows while mentoring peers and driving best practices. The role emphasizes reliability, performance, and auditability across data pipelines, with

Qualifications

• 5+ years of professional software engineering experience.
• Strong proficiency in Python or Java and solid design fundamentals.
• Hands-on experience with AWS services and data pipelines.
• Experience with Spark and relational databases.
• Familiarity with AI capabilities in data workflows and strong validation habits.
• Proficiency with Git workflows and CI/CD practices.
• Strong testing discipline (unit/integration).

Responsibilities

• Design, build, and maintain ETL/data pipelines using PySpark, AWS Glue, and Iceberg.
• Develop and operate backend microservices and APIs (Java/Spring Boot, Python).
• Write clean, tested, maintainable code with strong test coverage.
• Build infrastructure-as-code and CI/CD pipelines (Jenkins, Spinnaker, Terraform/CloudFormation).
• Optimize data workflows for performance, cost, and reliability.
• Mentor junior engineers and participate in design reviews.
• Ensure AI outputs are validated and compliant with data sensitivity requirements.

Skills

Python

Java

AWS

SQL

Spark

Git

CI/CD

Testing

Education

Bachelor's degree in CS/Engineering or related field

Tools

AWS (S3, Glue)

Apache Iceberg/Delta/Hudi

Apache Airflow

Docker

Jenkins

Spinnaker

Terraform

CloudFormation

PostgreSQL

Job 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 JPM - US Wealth Management Tech, 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:

• Design, build, and maintain production-grade ETL/data pipelines using PySpark, AWS Glue, and Apache Iceberg.
• Develop and operate backend microservices and APIs (Java/Spring Boot, Python).
• Write clean, well-tested, maintainable code with strong unit and integration test coverage.
• Build and manage infrastructure-as-code and CI/CD pipelines (Jenkins, Spinnaker, Terraform/CloudFormation).
• Optimize data workflows for performance, cost, and reliability.
  Collaborate with data engineers, analysts, and product stakeholders to translate requirements into robust solutions.
• Participate in design and code reviews; troubleshoot production issues and drive root-cause fixes.
  Mentor junior engineers and contribute to engineering best practices.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of professional software engineering experience.
  Strong proficiency in at least one of Python or Java, plus solid software design fundamentals.
• Hands‑on experience with AWS cloud services (S3, Glue, Lambda, IAM, RDS/Aurora).
  Experience building data pipelines and working with SQL and relational databases (e.g., PostgreSQL).
• Familiarity with distributed data processing (Spark) and data lake/table formats.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
• Proficiency with Git-based workflows and CI/CD practices.
• Strong testing discipline (unit, integration) and debugging skills.

Preferred Qualifications

• Experience buildingtransactional lakehouse tables(e.g.,Apache Iceberg/Delta/Hudi) and deliveringlarge-scale financial/revenue analyticsuse cases on top of them.
• Experience withworkflow orchestration and runtime packaging, includingApache AirflowandDockerfor reliable, repeatable batch/ETL execution.
• Experience implementingCI/CD and infrastructure automationusingTerraformplus pipeline/release tools such asJenkinsandSpinnaker.