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Tier-1 brand, metro location, mid-level generalist backend role with broad required skills.
Java, microservices, AWS, and Terraform skills transfer easily across industries.
Mandatory 2+ years, enterprise Java and AWS/microservices experience, and AI-tool validation skills increase filter strictness.
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Contribute to end-to-end software development including design, coding, testing, and troubleshooting across multiple components of JPMorgan Chase’s Corporate & Investment Bank technology products.
Leverage enterprise-authorized AI-assisted development tools to enhance code quality, speed, and productivity, while ensuring secure coding standards and validation through peer reviews and automated testing.
Analyze operational data to identify issues, support incident triage, and improve application stability with emphasis on secure, scalable, and reliable software solutions.
2+ years of applied software engineering experience with formal training or certification (NAMR/APAC – India/ LATAM/ Hong Kong).
Hands-on experience in system design, application development, debugging, and operational stability in a large corporate environment.
Proficiency in at least one modern programming language and database querying language.
Experience using enterprise-authorized AI-assisted software development tools (e.g., Copilot, Claude Code) with demonstrated ability to critically evaluate and validate AI-generated outputs.
Experience as a full stack Java developer, preferably with Java 17+ and strong familiarity with enterprise application development.
Practical knowledge of Agile SDLC delivery practices and developing microservices deployed on AWS (Elastic Kubernetes Service, Elastic Container Service, EC2).
Familiarity with infrastructure as code tools such as Terraform and relational databases like Oracle or PostgreSQL in production environments.