Software Engineer - Golang/Python, Kubernetes, Kubernetes Operators, CRDs, Kafka, cloud infrastructure - 4 to 8 years
Cisco (company site, opens in a new tab)4–8 yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 7h ago
Reach people at Cisco
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 Cisco 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
- Architect and maintain the Kubernetes-based Nexus Dashboard core infrastructure, ensuring high availability and performance involving PostgreSQL, OpenSearch, and Kafka.
- Manage full deployment lifecycle for multi-node clusters, including automated installation, configuration, and inline software upgrades across physical and virtual environments.
- Develop and support system reliability features such as backup/restore frameworks, anomaly detection, audit logging, and implement centralized security/authentication protocols for cluster and microservice communications.
Minimum Requirements
- Bachelor's degree with 4+ years related experience or Master's degree with 2+ years related experience.
- Proficiency in Go and Python programming, including AI-assisted development tools.
- Experience in developing, deploying, and managing microservices on Kubernetes orchestration platforms.
- Experience designing and implementing robust test plans to ensure software quality and coverage.
Ideal Candidate Profile
- Experience working on high-scale Kubernetes infrastructure platforms integrating distributed databases and messaging (e.g., PostgreSQL, OpenSearch, Kafka).
- Able to manage complex cluster lifecycle and reliability services in enterprise data center environments.
- Comfortable collaborating across engineering teams to optimize platform scalability and security infrastructure.