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    Job · 15403070

    Wenger & Watson Inc. logo

    Kafka Administrator

    Wenger & Watson Inc. · Remote · hybrid · Posted 49d ago

    Undisclosed6–11 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    • Exp- 5-12 Yrs
    • Provision, configure, and manage Kafka clusters (Apache Kafka KRaft or ZooKeeper-backed if legacy), Confluent Platform components (Schema Registry, Kafka Connect, ksqlDB, REST Proxy, Control Center), and Confluent Cloud resources.
    • Ensure high availability (HA) and resilience across multiAZ/region deployments; manage partition replication, min.insync.replicas (ISR), and rack awareness.
    • Implement and maintain client quotas, broker quotas, throttling, and backpressure strategies.
    • Plan and execute upgrades/patching with zero/minimal downtime; maintain version currency against EOL and security advisories.
    • Own backup/restore workflows for metadata (e.g., cluster configs), Schema Registry, and Connect configs
    • Implement authentication (mTLS/SASL: SCRAM, OAUTHBEARER with IdP, or Kerberos if legacy) and authorization (Kafka ACLs, Confluent RBAC).
    • Enforce encryption in transit and at rest, secret management (Vault/AKV/SSM), secure endpoint exposure, and private connectivity (VPC peering/PrivateLink).
    • Govern topic naming conventions, retention policies, schema evolution rules (backward/fully compatible), and PII handling.
    • Maintain audit trails (broker, Schema Registry, Control Center, Confluent Cloud audit logs) and compliance artifacts (SOX, GDPR, HIPAA/PCI as applicable).
    • Coordinate vulnerability management (CVE watch, hardening baselines, CIS/STIG alignment).
    • Deploy and maintain metrics pipelines (JMX Prometheus/Grafana), logs (ELK/OPensearch), and tracing (OpenTelemetry where applicable).
    • Define and monitor SLOs/SLIs (produce/consume latency, endtoend lag, broker CPU/heap/file handles, network throughput, GC pauses).
    • Analyze broker hotspots, partition skew, large message handling, compaction and retention settings, and tune GC/JVM for sustained throughput.
    • Implement consumer lag monitoring and alerting with actionable runbooks to prevent data loss or SLA breaches.
    • Model workload growth, topic/partition scaling, storage/IOPS, network egress/ingress, and broker sizing.
    • For Confluent Cloud, optimize environment cluster topic hierarchy, throughput tiers, retention costs, and data flow egress; rightsize Dedicated vs. Standard clusters.
    • Design partitioning strategies to meet throughput targets while balancing consumer concurrency and avoiding small partitions antipatterns
    • Automate cluster and topic lifecycle using Terraform (providers for Kafka/Confluent), Helm, GitOps workflows.
    • Operate and scale Kafka Connect with distributed workers; manage connectors (JDBC, Debezium CDC, S3/ADLS/GCS, Elasticsearch, etc.), transforms (SMTs), and converter settings.
    • Administer Schema Registry (compatibility levels, subject naming strategies, serializers/deserializers, schema size & references).
    • Operate ksqlDB and/or Flink for streaming SQL; enforce resource limits and multitenant governance.
    • Engineer lowlatency and secure connectivity across data centers/VPCs/VNETs; manage DNS, TLS SANs, LB configurations, advertised.listeners, and intercluster networking.

    Required Skills & Experience

    • 510 years in platform/SRE/DevOps; 5+ years dedicated to Kafka/Confluent admin in production.
    • Strong handson with Apache Kafka internals: brokers, controllers (KRaft), partitions/replication, log segments, compaction/retention.
    • Confluent Platform: Schema Registry, Kafka Connect, ksqlDB, Control Center, Confluent REST APIs; or Confluent Cloud admin (environments, clusters, RBAC, audit logs, networking).
    • Proficiency with Kafka CLI tools and AdminClient usage; deep knowledge of ACLs, quotas, transactions, idempotent producers, and exactlyonce semantics scenarios.
    • Prometheus/Grafana, JMX exporters, alerting systems (Alertmanager etc).
    • JVM tuning, Linux performance (NUMA, file descriptors, page cache, disk/RAID, XFS), and network tuning (TCP buffers, MTU, jumbo frames where applicable).
    • Linux administration (systemd, journald, kernel params), virtualization/containers (Docker, Kubernetes).
    • Cloud networking (VPC/VNET peering, transit gateways, PrivateLink/Private Service Connect), multiregion architectures.

    Preferrable -

    • Confluent Certified Administrator for Apache Kafka (CCAAK), CKA/CKAD, HashiCorp Terraform Associate, major cloud certs (Azure/AWS/GCP).
    • Experience with Confluent for Kubernetes (CFK) for operatorbased deployments.

    Sourced from naukri

    Skills

    Apache KafkaApacheConfluent

    About Wenger & Watson Inc.

    Wenger & Watson Inc. logo

    Wenger & Watson Inc.

    Recruitment

    350

    employees

    2002

    24 years old

    Bangalore / Bengaluru, Karnataka

    India

    ₹5L PA avg

    Avg at Wenger & Watson Inc.

    About

    Wenger & Watson is a prominent recruitment firm, offering human resource solutions in IT and non-IT sectors, emphasizing leadership hiring and strategic partnerships.

    Industries

    ConsultingHuman ResourcesRecruiting

    Employee ratings

    10 reviews

    2.6/ 5

    Culture

    2.8

    Career growth

    2.5

    Work-life

    3.4

    Employees rate it well for

    Work-Life Balance30Job Security27

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