DevOps Data Hadoop Engineer – Kubernetes, CI/CD & Big Data
Bengaluru - GTP, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply security best practices for infrastructure and pipelines
- Architect and support big data platforms
- Automate software delivery lifecycle
- Deploy and manage containerized applications
- Design CI/CD pipelines
- Design distributed data architectures
- Implement monitoring logging alerting and observability
- Maintain technical documentation
- Manage Kubernetes and OpenShift platforms
- Manage infrastructure as code
- Optimize performance reliability scalability availability
- Support governance compliance and change management
- Troubleshoot deployments infrastructure and platform incidents
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Alerting | Ansible | Apache Kafka | Apache Spark | CI/CD | Change Management | Compliance | Container Orchestration | Data Architecture | Data Processing | Distributed Systems | Distributed data | Distributed data architecture | Fault Tolerance | GitOps | Hadoop | High Availability | Incident Management | Infrastructure as Code | Jenkins | Kafka | Kubernetes | Logging | Monitoring | Observability | OpenShift | Scalability | Security | Terraform | “as-code”
Education
N/A
Roles
Data Engineer | DevOps | DevOps Engineer | Engineer | Hadoop Engineer
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