Software Engineering Lead - Java, Springboot, Graphql, Kafka, Mongo
Optum (company site, opens in a new tab)4+ yrsNoidaOn-siteDirect career pageEst. 18–30 LPA
Posted on 22 Sept
Reach people at Optum
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 Optum 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
- Design, develop, test, deploy, and maintain complex software applications, APIs, microservices, and cloud-native platform capabilities.
- Lead development and delivery of medium-to-large software features across multiple systems and collaborate with cross-functional teams for technical solutions and delivery plans.
- Mentor junior engineers, perform design and code reviews, troubleshoot production issues, and contribute to architecture reviews and modernization initiatives.
Minimum Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or equivalent practical experience (B.E./B.Tech./MCA/Graduation).
- 4+ years of software engineering experience designing and delivering enterprise-grade applications.
- Hands-on experience with Java (or similar languages like Python, C#), APIs, microservices, cloud-native solutions, CI/CD pipelines, automated testing, and Scrum/Agile methodologies.
- Solid understanding of software design patterns, OOP, distributed systems, data structures, algorithms, and debugging/problem-solving skills.
Ideal Candidate Profile
- Experienced in scalable web application development, cloud platforms (Azure, AWS, GCP) and microservices/event-driven architectures.
- Has practical knowledge of platform engineering concepts including containers, Kubernetes/OpenShift, and database performance optimization.
- Demonstrates technical leadership through mentoring, driving modernization initiatives, and collaboration across multidisciplinary teams in regulated or mission-critical environments.