Devops Engineer

Tech Mahindra; Dadri, Hyderabad; Híbrido; INR 1.500.000 - 2.700.000; Jornada completa

Descripción de la vacante

Tech Mahindra seeks a DevOps Engineer Tech Lead in Noida/Hyderabad to drive production stability across distributed systems. You will monitor, troubleshoot, and resolve issues, while coordinating triage for escalations and supporting Kubernetes workloads.

You will also assist with deployment, configuration validation, and build/delivery workflows, including container image builds and artifact validation, plus support for data platforms and pipelines with batch and streaming workloads.

Formación

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

Responsabilidades

• Support production stability by monitoring, troubleshooting, and resolving service issues across distributed systems.
• Perform initial triage and coordination for production 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.

Conocimientos

Linux

Kubernetes

Docker

Big Data

On-call support

Herramientas

Flink

Hive

Yarn

Spark

Descripción del empleo

Role & responsibilities

Role: DevOps Engineer Tech Lead

Location: Noida/Hyderabad

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.