Live opening · Posted 6 days ago

Software Engineer III - Java AWS

JPMorgan Chase · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyJPMorgan Chase
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SourceLinkedin
Listed6 days ago

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About the role

Description supplied by the original job listing.

Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, you 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
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

Work arrangement
No

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