Data Platform Engineer- DevOps

Data Platform Engineer- DevOps

Bengaluru, KA - WFO

Role Overview

• Independently design, build, and deliver

  distributed services and features end-to-end.

• Enhance platform capabilities

  across ingestion, streaming, lakehouse/warehouse, catalog, and governance.

• Write production-grade code

  with observability (metrics, logs, traces) and SLOs.
• Debug, optimize, and scale services for reliability, cost, and performance.
• Contribute to design docs and reviews, ensuring best practices in security and efficiency.

DevOps & Support

• Provide

  DevOps coverage

  for platform services during Indian business hours.
• Participate in

  incident response and on-call support

  for Java platform services.
• Diagnose and resolve application-level issues (memory leaks, GC pauses, thread deadlocks, CPU bottlenecks).
• Apply short-term fixes (service restarts, config changes, rollbacks) and escalate critical issues as needed.
• Conduct

  operational maintenance

  : upgrades, patching, configuration validation, and health monitoring.
• Maintain runbooks, response procedures, and documentation.
• Collaborate during deployments, analyze logs/metrics/traces, and partner with infra/DB/observability teams to tune systems.

Required Skills & Experience

• 6+ years

  of professional software engineering experience.

• Strong foundation in distributed systems

  (replication, consensus, partitioning, fault tolerance).
• Proficiency in

  Java or Python

  , with experience in CI/CD workflows.
• Hands-on experience with

  Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, or NoSQL/columnar stores

  .
• Proven ability to work independently with minimal supervision.

Excellent debugging, system design, and performance optimization skills.