Software Engineer II - Automation and Performance Testing

Next Frontier Capital; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JPMorganChase in Hyderabad, India, invites a Software Engineer II to join a payments technology team within Commercial & Investment Bank. You will be part of an agile group delivering secure, scalable software components.

You will write secure code in a modern language, leverage AI-assisted development tools, and collaborate across teams to ensure reliability throughout the SDLC in a fast-paced environment.

Qualifications

• Formal training or certification on software engineering concepts with 2+ years experience.
• Hands-on automation and performance testing experience.
• Experience coding in a modern language with DB querying.
• Experience using enterprise AI-assisted development tools and validating outputs.
• Understanding responsible AI use and secure handling of data.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure and high-quality code with limited guidance.
• Leverages AI coding assist tools to improve code quality, while peer review and testing validate outputs.
• Designs and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC tools and automated capabilities to improve value of automation.
• Gathers and analyzes data to identify problems and support secure, stable app development.
• Learns system processes and skills for secure, stable code and systems.

Skills

Automation Testing

Performance Testing

AI-assisted development

Secure coding

SDLC

Agile

CI/CD

Education

Software engineering degree

Tools

Terraform

AWS ECS/EKS

EC2

PostgreSQL

Oracle

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 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)

Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way