Software Engineer III - Java Backend, AWS, Kafka
JPMorgan
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What software roles keep asking for: Python (36%), Java (30%), AWS (30%), System design (27%), C++ (24%), CI/CD (23%), Observability (22%), Kubernetes (20%) — counted across their open postings here.
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Questions you are likely to be asked
- Why do you want to join JPMorgan?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
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Practise the Software Engineer III - Java Backend, AWS, Kafka at JPMorgan interview free →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 - Trust and Security team, 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. 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Excellent system design skills for designing distributed systems with scalability, resiliency, security, and performance best practices Advanced proficiency in Java (17/21+) and Spring Boot for building scalable RESTful microservices. Strong command of Kafka for event-driven architectures, including topic design, partitions, consumer groups, and delivery semantics. Extensive experience with AWS data lake & ETL technologies (S3, Glue, EMR, Lambda, Step Functions) and Maven for build/dependency management and solid expertise in containerization and orchestration using Docker and Kubernetes, deploying workloads on AWS EKS and ECS. 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. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies. Knowledge of Cassandra for distributed data modeling, partition strategy, and query tuning at scale. Knowledge of Apache Spark (batch + streaming) for large-scale data processing and performance optimization, and proven capability in Jenkins-based CI/CD
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Listed on oraclehcm · posted 2026-10-21. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.