Software Engineer - Automation and Performance Testing

JP Morgan Services India Pvt Ltd; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer II in Hyderabad to join the Payments Technology team. You will be part of an agile team that enhances, designs and delivers software components, focusing on secure, scalable solutions within a large enterprise environment.

The role requires hands-on automation and performance testing, experience with modern languages, and familiarity with AI-assisted development tools.

Qualifications

• 2+ years of hands-on experience in Automation and Performance Testing.
• Experience with enterprise-grade languages and databases.
• Experience using AI-assisted development tools with validation.
• Understanding of SDLC and Agile/CI-CD practices.
• Knowledge of security and resiliency expectations.

Responsibilities

• Executes software design, development, and troubleshooting with limited guidance.
• Writes secure, high-quality code using at least one language.
• Leverages AI-assisted coding tools and validates outputs via reviews and tests.
• Designs, develops, and troubleshoots with consideration of related systems.
• Applies SDLC tooling and agile practices to deliver secure, stable applications.
• Analyzes large data sets to identify issues and inform decisions.

Skills

Automation testing

Performance testing

CI/CD

Agile methodologies

AWS

Terraform

SQL/Oracle/PostgreSQL

AI-assisted development tools

Security practices

Education

Software Engineering Certification

Tools

AWS EC2

AWS EKS

Docker/Kubernetes

Terraform

Oracle/PostgreSQL

Job description

Software Engineer II - Automation and Performance Testing

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 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.

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. Hands-on practical experience in Automation and Performance Testing. 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

Backend developer experience in enterprise application development. Strong experience in SDLC delivery in Agile methodologies. 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). Experience Level Mid Level.