Software Engineer III - Java, Kafka, AWS
JPMorgan Chase · Hyderabad
As a Software Engineer III at JPMorganChase within the EHP Card Streaming team in Consumer and Community Banking line-of-business, you serve as a key player for CARD streaming and modernization agile team.
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
- Hands-on practical experience in system design, application development, testing, and operational stability using Java, Kafka, AWS or other cloud technologies like Azure/GCP
- 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.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Streaming & Event-Driven: Apache Kafka, event-driven architecture, messaging patterns (pub/sub), schema management
Preferred qualifications, capabilities, and skills
- Strong soft skills, including presentation, negotiation, mentoring, stakeholder management, problem-solving, analytical, and communication skills.
- Data Processing: Apache Spark, Apache Flink (stream processing)
- AWS certification.
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