Data Platform Engineer DevOps

1 week ago

New Delhi, India AMISEQ Full time

Data Platform Engineer DevOps Bengaluru, KA WFOWe’re hiring a Software Engineer with deep expertise in distributed systems who can work independently todeliver platform featuresandprovide DevOps supportfor 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 deliverdistributed services and features end-to-end. Enhance platform capabilitiesacross ingestion, streaming, lakehouse/warehouse, catalog, and governance. Write production-grade codewith 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 ProvideDevOps coveragefor platform services during Indian business hours. Participate inincident response and on-call supportfor 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. Conductoperational 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+ yearsof professional software engineering experience. Strong foundation in distributed systems(replication, consensus, partitioning, fault tolerance). Proficiency inJava is must or Python , with experience in CI/CD workflows. Hands-on experience withKafka/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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