Software Engineer III - Java AWS

JPMorganChase

Hyderabad

On-site

INR 1,800,000 - 3,400,000

Full time

27 hours ago
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Job summary

JPMorganChase in Hyderabad is seeking a software engineer to advance backend services and reliable, scalable systems. You will design, develop, and troubleshoot Java-based solutions and participate in the full software development lifecycle.

You will use AWS services, work with AI-assisted coding tools, and collaborate with product managers and architects to deliver secure, high-quality software at scale. This role emphasizes modern engineering practices, code reviews, CI/CD, security, and

Qualifications

  • Formal training or certification in software engineering concepts with 3+ years applied experience.
  • Experience with Java backend development and OO design.
  • Experience with AWS and building distributed services.
  • Strong problem-solving skills and ability to learn quickly.
  • Good communication and collaboration across teams.
  • Experience with AI-assisted development tools and secure coding.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting complex problems.
  • Develop secure, high-quality production code and scalable algorithms.
  • Leverage AI coding assist tools to improve quality, speed, and productivity.
  • Participate in design reviews to ensure alignment with standards and business needs.
  • Use SDLC tools and CI/CD practices to improve value and observability.
  • Collaborate with product managers to translate requirements into deliverables.
  • Support security and regulatory expectations with secure coding practices.

Skills

Java backend
OO design
Design patterns
Problem solving
Communication
Team collaboration
System design
CI/CD
Security awareness
Agile methods

Tools

AWS
Aurora Postgres
ECS/Fargate
Glue
Airflow
GitHub Copilot

Job description

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

Job Responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.
  • Develop and enhance Java-based backend services to support high-volume transaction processing.
  • Build and operate solutions using AWS services (e.g., Aurora Postgres, ECS/Fargate, EC2 as applicable) with a focus on scalability, reliability, and performance.
  • Contribute to solution design by partnering with senior engineers/architects and participating in design reviews to ensure implementations align with technical standards and business needs.
  • Use AI-assisted coding tools (e.g., GitHub Copilot, where approved) to improve development efficiency, testing, and code quality.
  • Follow and promote strong engineering practices (code reviews, CI/CD, testing, observability, documentation) and continuously improve the codebase.
  • Collaborate with product managers and stakeholders to clarify requirements and translate them into technical deliverables.
  • Support security and compliance requirements by applying secure coding practices and adhering to Community Banking standards and applicable regulatory expectations.
Required Qualifications, Capabilities, And Skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Demonstrated experience with Java backend development, object-oriented design, and common design patterns.
  • Experience with AWS (e.g., Aurora Postgres, ECS/Fargate, Glue and/or Airflow) and building distributed services.
  • Strong problem-solving skills, attention to detail, and ability to learn quickly in a complex domain.
  • Solid communication skills and ability to collaborate effectively across engineering and product teams.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • 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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred Qualifications, Capabilities, And Skills
  • Financial services and/or connected commerce experience is a plus, but not required.
  • Familiarity with AI-assisted coding tools (e.g., Copilot) is a plus (confirm tool approval for your environment before use).
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
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