Software Engineer II - Java, Kubernetes and AWS

JPMorgan Chase & Co.; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

JPMorgan Chase & Co. in Hyderabad invites a Software Engineer II to join the Commercial & Investment Bank - Payments Technology team.

You will contribute to designing, developing, and delivering secure, scalable software components within an agile environment. You will write high-quality code in Python and other languages, leverage AI-assisted tools, and participate in peer review, testing, and secure coding practices to drive reliable performance.

Qualifications

• Formal training or certification on software engineering concepts with 2+ years of applied experience.
• Hands-on experience in Databricks, AI/ML, Python, AWS, ETL, SQL.
• Experience developing and debugging 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 development tools with ability to evaluate AI outputs.
• Understanding of responsible AI use in engineering workflows including data sensitivity and secure handling.
• Experience across the full SDLC.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code using at least one programming language with limited guidance.
• Leverages AI coding assist tools to improve quality, delivery speed, and productivity, with peer review and secure coding practices.
• Designs, develops, codes, and troubleshoots considering upstream and downstream systems.
• Applies SDLC tools and AI-assisted development to improve automation value.
• Applies troubleshooting to solve basic complexity problems.
• Gathers and analyzes large data sets to support secure, stable development decisions.
• Learns system processes and skills for secure, stable code and systems.

Skills

Python

Java 17+

CI/CD

Security

AI-assisted development

Data analysis

Education

Software engineering concepts training/certification

Tools

Databricks

AI/ML

Python

AWS

ETL

SQL

Terraform

Kubernetes (EKS/ECS)

Oracle or PostgreSQL

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes standard software solution, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• Applies technical troubleshooting to breakdown 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
• Hands‑on practical experience in Databricks, AI/ML, Python, AWS, ETL, SQL
• 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, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI‑generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Python developer experience in enterprise application development
• Strong experience in SDLC delivery in Agile methodologies
• At least two years experience in Java 17+
• Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
• Experience writing Terraform scripts and deploying in AWS production environment
• Experience in at least one relational database management system (preferably Oracle or PostgreSQL)