Job highlights

- Expertise in Linux, Kubernetes, Docker, and Big Data technologies
- Monitor and troubleshoot distributed systems, support Kubernetes workloads, assist deployments, and provide on-call support for big data platforms including Flink, Hive, Yarn, and Spark

Role & responsibilities Role: DevOps Engineer Tech Lead

Location: Noida/Hyderabad

Job Type: Fulltime/Permanent

Core Responsibilities for DevOps:

Robust expertise in Linux, Kubernetes, Docker and Big Data with deep technical proficiency.

- Support production stability by monitoring, troubleshooting, and resolving service issues across distributed systems.
- Perform initial triage and coordination for producton problems, following defined procedures and escalation paths.
- Support Kubernetes-based workloads, including pod health, service availability, resource usage, and basic networking issues.




- Assist with deployment and change activities, validating configurations, monitoring rollouts, and ensuring minimal disruption.
- Support application build and delivery workflows, including basic code compilation, container image builds, and artifact validation.
- Assist in troubleshooting data platforms and pipelines, including batch and streaming workloads.
- Provide oncall and troubleshooting support for big data platforms and services, including Flink, Hive, Yarn, Spark, and related data processing workflows.
- Maintain clear operational communication, documentation, and shift handoffs while collaborating with engineering and platform teams.

📌 Devops Engineer (Noida)
🏢 Tech Mahindra
📍 Noida