Job
Description
Requirements : We are seeking a proactive and technically strong 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 Strong 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 Strong SQL skills (Oracle/Exadata preferred)
