Software Engineer III - Java, Kafka, AWS
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 21h ago
Reach people at JPMorgan Chase & Co.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at JPMorgan Chase & Co. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Designs, develops, and troubleshoots software solutions with a focus on CARD streaming and modernization within an agile environment.
- Produces secure, high-quality production code and maintains algorithms ensuring synchronous operation with relevant systems.
- Leverages enterprise AI-assisted coding tools for improving code quality, delivery speed, and team productivity while validating outputs and contributing reusable patterns.
Minimum Requirements
- 3+ years applied experience with formal training or certification in software engineering.
- Hands-on experience in system design, application development, testing, and operational stability using Java, Kafka, and AWS or equivalents (Azure/GCP).
- Experience using enterprise-authorized AI-assisted software development tools with ability to critically evaluate AI-generated outputs.
- Solid understanding of agile methodologies including CI/CD, application resiliency, security, and streaming/event-driven architectures (Apache Kafka, schema management).
Ideal Candidate Profile
- Experienced in large corporate environments developing and maintaining complex distributed systems with event-driven architectures.
- Proficient with AI-assisted coding workflows emphasizing responsible AI use, data sensitivity, and secure coding practices.
- Comfortable producing architecture and design artifacts and improving systems via data analytics and automation within agile teams.