DevOps Engineer with Bigdata

Job description

Role: DevOps Engineer – Tech Lead Location: PAN India Job Type: Fulltime/Permanent Core Responsibilities for DevOps: Strong 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.