Software Engineer III - AWS, Java, Camunda and React/Angular

JPMorgan Chase & Co.; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JPMorgan Chase & Co. in Hyderabad is seeking a Software Engineer III to contribute to AWS, Java, Camunda, and React/Angular initiatives. You will work in an agile setting to design, develop, and deliver secure, scalable software components.

The role requires 5+ years of experience with Java, Spring, REST, and cloud services, plus familiarity with Camunda and modern frontend frameworks. Strong collaboration and problem-solving are essential for success in this position.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience building Java applications with Spring and REST services.
• Familiarity with cloud environments (AWS, Azure, or GCP).
• Knowledge of Camunda and frontend frameworks is a plus.

Responsibilities

• Develop, test, and deploy Java applications with Spring Boot and REST.
• Design and implement Camunda workflows and ensure scalable architecture.
• Collaborate in an agile team to deliver secure, high-quality software.
• Create and maintain visualizations and reports from large data sets for continuous improvement.
• Utilize AI-assisted coding tools and ensure outputs are secure and correct.

Skills

Java

Spring Framework

REST APIs

Data analysis

AI-assisted development

Education

Software engineering certification

Tools

AWS

Camunda

Jenkins

Maven

Git/Gitflow

JMeter

Job description

Software Engineer III - AWS, Java, Camunda and React/Angular

• Job Identification 210778215
• Job Category Software Engineering
• Business Unit Consumer & Community Banking
• Posting Date 08/24/2026, 04:07 AM
• Locations MAGMA,UNIT-1,PHASE-IV,SY NO.83/1,PLOT NO 2, GR Floor TO 2 Floor and 5 Floor TO 16 Floor,Basement 1,2, Hyderabad, IN-TG, 500081, IN
• Apply Before 08/31/2026, 04:00 AM
• Job Schedule Full time

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 the Consumer and community banking- Data technology, 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. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, deploying and administering Java applications using JAVA, Spring Boot, Spring REST, Spring JPA and Hibernate and Web services technologies (REST).
• Working knowledge in any one of the Public Cloud Environments - Amazon Web Services (AWS S3, Lamda, EC2, ECS, RDS, etc.), Microsoft Azure, or Google Cloud Platform.
• Experience with Distributed tracing, Monitoring tools, Micro service Architecture, Apache Kafka and Camunda.
• 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.
• Experience working in Application Development, Quality and Automation teams
• Experience in using SCM tools and frameworks such as Bitbucket, GitHub.

Must have hands on the following build tools (or similar): IntelliJ/Eclipse, Jenkins, Maven, BitBucket/Git/Gitflow, JMeter/Blazemeter.

Preferred qualifications, capabilities, and skills

• Have good understanding on DBMS concepts.
• Good knowledge of issue tracking systems, preferably Jira and Confluence

Good to have experience in Terraform, Kubernetes and Snowflake.