{"id":2307171,"url":"https://alion.io/job/datamaticstechnologies-confluent-kafka-engineer-datamatics-technologies-3","title":"Confluent Kafka Engineer - Datamatics Technologies","company":{"id":4413925,"name":"Datamatics Technologies","domain":"datamaticstechnologies.com","url":"https://alion.io/company/datamaticstechnologies","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Karachi, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":86000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6426},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Spring Boot","optional":false},{"name":"AppDynamics","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"GitLab CI","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenShift","optional":true},{"name":"Prometheus","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-10-11T23:27:51Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-14T19:12:44Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Lead Confluent Kafka Engineer\nRole Overview\nWe are seeking a highly skilled Lead Confluent Kafka Engineer to oversee the implementation, administration, and operational support of Apache Kafka and Confluent Platform environments. The ideal candidate will possess strong hands-on expertise in Kafka, Java, Spring Boot, Linux, security, troubleshooting, and data streaming technologies, ensuring the delivery of secure, scalable, and highly available messaging platforms.\nPosition Information\nJob Title: Lead Confluent Kafka Engineer\nEmployment Type: Full-Time\nWork Arrangement: Onsite\nLocation: Islamabad\nExperience Required: 5-10 Years\nEducation: Bachelor's degree or higher in Computer Science, Information Technology, Engineering, or a related discipline\nKey Responsibilities\nInstall, configure, administer, and support Apache Kafka / Confluent Platform across Development, UAT, and Production environments.\nManage Kafka cluster setup, including broker configuration, topic management, partitioning, replication strategies, retention policies, and capacity planning.\nExecute Kafka upgrades, patch deployments, rolling restarts, configuration updates, and cluster scaling activities while maintaining production stability.\nDeploy and maintain Kafka ecosystem components including Schema Registry, Kafka Connect, Control Center, and related services.\nInvestigate and resolve production issues related to broker performance, partitions, ISR, replication, consumer lag, latency, throughput, storage utilization, and connectivity.\nConfigure and maintain Kafka security controls, including TLS/mTLS, SASL authentication, ACLs, certificates, keystores, and truststores.\nSupport and troubleshoot Java/Spring Boot Kafka applications, including producer and consumer integrations.\nCollaborate with application, infrastructure, DevOps, and security teams to onboard new Kafka workloads and drive successful environment promotions.\nContribute to CI/CD processes, deployment automation, release management, and configuration control for Kafka platforms and applications.\nConduct regular health monitoring, performance optimization, capacity forecasting, incident response, and root cause analysis activities.\nCreate and maintain operational documentation, deployment guidelines, configuration standards, disaster recovery procedures, and runbooks.\nSupport high availability, backup and recovery operations, disaster recovery strategies, and multi-cluster replication architectures where required.\nRequired Skills & Experience\nProven hands-on experience supporting Apache Kafka / Confluent Platform in production environments.\nStrong understanding of Kafka architecture, including brokers, partitions, replication, ISR, consumer groups, offsets, retention policies, and delivery guarantees.\nExperience with Kafka installation, configuration, upgrades, patch management, and ongoing operational support.\nStrong development and integration experience using Java and Spring Boot for Kafka-based applications.\nSolid expertise in Linux administration, networking, JVM performance, production troubleshooting, and operational support.\nExperience implementing and managing Kafka security, including TLS/mTLS, SASL, ACLs, and certificate management.\nHands-on experience with Confluent Kafka solutions.\nPractical experience working with data streaming platforms and real-time event-driven architectures.\nPreferred Skills\nExperience with Kubernetes, OpenShift, Anthos, Helm, and containerized Kafka deployments.\nFamiliarity with Kafka Connect, Schema Registry, and Confluent Control Center.\nExperience working with CI/CD platforms such as Jenkins, GitLab CI, Azure DevOps, or similar tools.\nMonitoring and observability experience using Splunk, AppDynamics, Prometheus, Grafana, or Confluent monitoring solutions.\nKnowledge of Kafka disaster recovery (DR), multi-cluster deployments, replication strategies, and migration projects.\nExperience supporting Kafka environments within banking, telecommunications, or other business-critical enterprise 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