Kafka Support Engineer

Pineswift Technologies; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Pineswift Technologies is seeking a Kafka Support Engineer in India. You will manage Kafka/AMQ operations, Strimzi CRs, and broker configurations, while ensuring monitoring, alerting, and incident resolution align with SLAs.

Strong CLI, security, and RCA skills are required to support complex deployments. Ideal candidates will handle connectivity, lag, rebalances, and capacity planning, with hands-on experience in Prometheus/Grafana and log pipelines.

Qualifications

• Basic understanding of OpenShift basics (pods, deployments, services, routes/ingress, namespaces, logs, events).
• 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.
• Strong communication, documentation, and shift-handover discipline.
• Strong 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.

Skills

OpenShift basics

Kafka operations

ActiveMQ JMS

Strimzi/AMQ Streams

CLI tools (oc, kubectl, Kafka CLI, AMQ

Kafka/AMQ Console

Monitoring/Alerting

Communication/documentation

Incident troubleshooting

Kafka Connect/Bridge

Security (TLS/mTLS, SASL, OAuth)

Incident resolution leadership

Root cause analysis

Broker/topic tuning

Capacity planning

Observability (Prometheus, Grafana)

Tools

OpenShift

oc

kubectl

Kafka CLI

AMQ CLI

Strimzi

Prometheus

Grafana

EFK/Loki

Job description

Hi

We at Pineswift Technologies, are willing to hire a Kafka Support Engineer. Below are the details:

Required Skills & Experience For Role

• Basic understanding of OpenShift basics (pods, deployments, services, routes/ingress, namespaces, logs, events).
• 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.
• Strong communication, documentation, and shift-handover discipline.
• Strong 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.