Devops Engineer

Job Description Job Details: Must Have Skills API Java Kafka Detailed JD (Roles and Responsibilities): As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Total Experience: 10 Yrs Relevant Experience: 5+ Yrs Mandatory skills: 5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) Strong proficiency in Java, Python, or Scala Solid understanding of event-driven architecture and data streaming patterns Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure Familiarity with Docker, Kubernetes, and CI/CD pipelines Excellent problem-solving and communication abilities Desired skills: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC Confluent certifications (Developer, Administrator, or Flink Developer) Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns Exposure to monitoring tools (Prometheus, Grafana, Splunk) Experience with data lakes, data warehouses, or big data ecosystems Personal: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Interview Process (Is face to face required?): No

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