About this role
Job Title: DevOps Architect
Skill Set: DevOps Total Experience: 10.00 to 15.00 Years No of Openings: 1 Job Post Date: 04/06/2026 Job Expiry Date: 30/09/2026 Domain: IT Location: HYDERABAD [India] Job Reference No: 4081497
Job Summary
We have an urgent opportunity with of DevOps professionals working on large-scale distributed systems and real-time big data platforms.
Location - Noida /Hyderabad
Role Highlights:
- Hands-on with Kubernetes, Docker, Linux
- Exposure to Big Data stack (Spark, Hive, Flink, Yarn)
- Production support & high-scale distributed systems
- Opportunity to work on real-time data pipelines & global platforms
Why consider?
- Work on high-scale engineering environment
- Strong learning curve in SRE + Data platforms
- PAN India opportunity (Hyderabad preferred)
Below are the criteria basis which profiles will be screen reject -
- Only CI/CD DevOps (no Big Data)
- Only Hadoop without Kubernetes
- Only support / no engineering exposure
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 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 builds 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 on call 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.