Lead Software Engineer - Lead Software Engineer - Java, AWS, Kafka, Apache Flink
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 30–45 LPA
Posted 1d 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
- Lead the design, development, and operational stability of secure, scalable software solutions using Java, AWS, Kafka, and Apache Flink.
- Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Lead evaluation of external/internal technology vendors and foster communities of practice to promote new and leading-edge technologies.
Minimum Requirements
- 5+ years of formal training/certification and applied experience in software engineering.
- Proficiency in back-end technologies (Java, Springboot, Node.js) with microservices development; experience with cloud platforms (AWS/Azure/GCP).
- Hands-on experience with Kafka-based event streaming platforms, distributed systems, and building/operating high-volume data pipelines using Apache Flink or Apache Spark in production.
- Experience leading design docs, architecture decisions, and operational improvements for streaming systems (SLOs/SLAs, monitoring, incident response).
Ideal Candidate Profile
- Experienced technical leader with strong ownership of architecture and operational excellence in distributed, event-driven systems.
- Pragmatic adopter and coach of AI-assisted software engineering tools ensuring secure, accurate, and high-quality outputs.
- Skilled in stakeholder alignment, driving technology decisions, and enabling team-wide best practices in agile environments.