Job Description

Key Responsibilities
Basic understanding of OpenShift basics (pods, deployments, services, routes/ingress, namespaces, logs, events).
Experience 3 5 years
Solid Understanding of Kafka operations: topics, partitions, producers/consumers, offsets, consumer groups.
Basic Understanding of ActiveMQ JMS Address/Queue, Address settings (DLQ, expiry queue, redelivery delay)
Familiar with Strimzi/AMQ Streams CRs (Kafka, KafkaTopic, KafkaUser) and Operator lifecycle.
Proficiency with CLI tools: oc, kubectl, Kafka CLI, AMQ CLI ,reading pod logs and events.
Kafka and AMQ Console Hands-on.
Understanding of monitoring & alerting workflows, ticket lifecycle, SLAs.
Robust communication, documentation, and shift-handover discipline.
Solid troubleshooting for ISR/URP, leader election, rebalance, lag, and broker/storage/network issues.
Experience with Kafka Connect, Kafka Bridge, and connector operations, Kafka Mirror
Security: TLS/mTLS, SASL/SCRAM, OAuth/OIDC (Keycloak), cert rotation, RBAC,



network policies.
Lead complex incident resolution (broker instability, partition reassignments, consumer lag spikes, connectivity/auth failures).
Perform RCA, impact analysis, and preventive actions.
Tune broker/topic configs (retention, cleanup policy, partitions, replication factors).
Plan and execute capacity upgrades, scaling, and storage adjustments.
Manage AMQ Streams/Strimzi versions, CRD updates, rolling upgrades of Kafka components; validate post-change health.
Observability: Designing Prometheus alerts, Grafana dashboards, log pipelines (EFK/Loki), capacity/performance baselining.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Kafka Professional Uttar Pradesh
🏢 OpsTree Solutions
📍 Uttar Pradesh