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Tier-1 brand, general SRE role, metro locations, and broad skillset drive high competition.
Data-platform SRE requirements and big-data tooling raise industry-specific background sensitivity.
Explicit 8+ years plus mandatory SRE/domain and cloud/Kubernetes/Terraform skills create strict shortlisting.
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Own availability, latency, performance, capacity planning, monitoring, and emergency response for large-scale data platforms.
Design, troubleshoot, and optimize distributed data systems and pipelines ensuring high reliability and efficiency.
Develop automation tools for deployment, monitoring, backup, and disaster recovery, collaborating cross-functionally to resolve complex issues.
Bachelor’s degree or higher in Computer Science, Software Engineering, or related field.
8+ years experience in SRE, DevOps, or Data Operations Engineering roles.
Proficiency with cloud platforms (AWS, GCP, Azure), big data technologies (Kafka, Hadoop, Spark), and automation tools (Terraform, Kubernetes, Docker).
Programming skills in at least one language such as Python, Go, Java, or Scala.
Experienced in managing and optimizing large-scale distributed data systems and infrastructure for high reliability.
Strong technical expertise in cloud environments, data storage, and CI/CD pipelines, able to independently handle complex troubleshooting and performance optimization.
Comfortable collaborating across data engineering, analytics, and product teams to support data product deployment and incident response.