Data Platform Engineer DevOps

4 weeks ago

Bengaluru, India AMISEQ Full time

Data Platform Engineer DevOps

Bengaluru, KA

WFO

We're hiring a Software Engineer with deep expertise in distributed systems who can work independently to
deliver platform features
and
provide DevOps support
for existing services. This role combines data platform engineering—designing and evolving distributed systems that power ingestion, streaming, storage, and governance—with hands-on operational responsibilities.

In addition to building and shipping new features, you will support incident response, on-call coverage, system maintenance, and operational health monitoring (including coverage during Indian business hours). Your work will directly improve the reliability, scalability, and efficiency for core data platforms.

Key Responsibilities

Platform Engineering

  • 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 is must 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

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