JP Morgan Services India Pvt Ltd

Software Engineer III - Java Full Stack Developer + GenAI / LLM + AWS

JP Morgan Services India Pvt Ltd
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

Software Engineer III - Java Full Stack Developer + GenAI / LLM + AWS

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.  

As a Software Engineer III - Java Full Stack Developer + GenAI / LLM + AWS at JPMorgan Chase within the Commercial & Investment Bank, you'll 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 and develop full-stack software solutions using modern engineering approaches and patterns.
  • Build and integrate AI-driven capabilities, including LLM-based services, orchestration, and workflow integrations.
  • Develop and maintain cloud-native microservices and APIs (REST/streaming) with strong focus on scalability, resilience, and security controls.
  • Identify and automate solutions for recurring operational issues to improve system stability and observability (logs/metrics/tracing).
  • Collaborate in a Scrum/Agile team, participate in ceremonies, and contribute to a culture of diversity, opportunity, and inclusion.
  • Implement solutions primarily using Java, Spring Boot, and Python (AWS Lambda), building microservices and Camunda workflow orchestration deployed on AWS ECS, backed by PostgreSQL.
  • 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.
  • 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.

  • 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.

     

Required qualifications, capabilities, and skills
 
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Strong application development skills with exposure to operational stability in production environments and hands-on experience in Java Full Stack Development.
  • Experience with system design fundamentals, microservices patterns, and API development (RESTful and/or streaming).
  • Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure)
  • Proficiency with data technologies (relational and/or NoSQL) and common observability practices.
  • Practical familiarity with LLMs / generative AI concepts and use cases (e.g., RAG, tool/prompt orchestration, guardrails/evaluation); working knowledge of Python for AI/ML integrations.
  • Overall knowledge of the Software Development Life Cycle, and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Familiarity with Docker, Kubernetes, Helm, modern CI/CD practices, multi-region service deployments, and zero-downtime release strategies.
  • Strong communication skills, ownership mindset, proactive approach to continuous improvement, and a track record delivering scalable, reliable, and secure products from concept to launch.
  • 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.

 

Preferred qualifications, capabilities, and skills
 
  • Cloud certification in AWS, GCP, or Azure.
  • Working knowledge of Python (for AI/ML integrations) is a plus.
  • Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
  • Experience with multi-region service deployments and zero-downtime release strategies.
  • Strong communication skills, ownership mindset, and a proactive approach to continuous improvement.
  • Track record delivering scalable, reliable, and secure products from concept to launch.
  • Working knowledge of Python (for AI/ML integrations) is a plus.

Experience Level

Senior Level

Job role

Work location
Work locationBengaluru, Karnataka, India
Department
DepartmentSoftware Engineering
Role / Category
Role / CategoryFrontend Development
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NameJP Morgan Services India Pvt Ltd
Job posted by JP Morgan Services India Pvt Ltd

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