Requirements

We are seeking a proactive and technically robust Site Reliability Engineer (SRE) to ensure the stability, performance, and scalability of our Data Engineering Platform. You will work on cutting-edge technologies including Cloudera Hadoop, Spark, Airflow, NiFi, and

Kubernetes ensuring high availability and driving automation to support massive-scale data workloads, especially in the telecom domain.

Key Responsibilities
Ensure platform uptime and application health as per SLOs/KPIs
Monitor infrastructure and applications using ELK, Prometheus, Zabbix, etc.
Debug and resolve complex production issues, performing root cause analysis
Automate routine tasks and implement self-healing systems
Design and maintain dashboards, alerts, and operational playbooks
Participate in incident management, problem resolution, and RCA documentation
Own and update SOPs for repeatable processes




Collaborate with L3 and Product teams for deeper issue resolution
Support and guide L1 operations team
Conduct periodic system maintenance and performance tuning
Respond to user data requests and ensure timely resolution
Address and mitigate security vulnerabilities and compliance issues Technical Skillset
Hands-on with Spark, Hive, Cloudera Hadoop, Kafka, Ranger
Robust Linux fundamentals and scripting (Python, Shell)
Experience with Apache NiFi, Airflow, Yarn, and Zookeeper
Proficient in monitoring and observability tools: ELK Stack, Prometheus, Loki
Working knowledge of Kubernetes, Docker, Jenkins CI/CD pipelines
Solid SQL skills (Oracle/Exadata preferred)

📌 Data Devops Engineer Gurugram
🏢 Kezan consulting
📍 Gurugram