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Urgent! Data Platform Engineer DevOps Job Opening In India, India – Now Hiring AMISEQ

Data Platform Engineer DevOps



Job description

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


Required Skill Profession

Computer Occupations



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