{"id":2307179,"url":"https://alion.io/job/datamaticstechnologies-lead-confluent-kafka-engineer-datamatics-technologies","title":"Lead 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":"lead","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":null,"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":"Configuration Management","optional":false},{"name":"Incident Management","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":"2026-10-20T22:28:07Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Job Description: Lead Confluent Kafka Engineer\nRole Summary\nWe are looking for an experienced Lead Confluent Kafka Engineer to support the deployment, configuration, administration, and production operations of Apache Kafka / Confluent Platform. The role requires strong hands-on expertise in Kafka, Java, Spring Boot, Linux, security, troubleshooting, and data streaming, with responsibility for maintaining reliable, secure, and highly available Kafka environments.\nPosition Details\nJob Title: Lead Confluent Kafka Engineer\nEmployment Type: Full-Time\nWork Arrangement: Onsite\nLocation: Islamabad\nExperience Required: 5 to 10 years\nEducation: Minimum Bachelor’s degree in a relevant field\nResponsibilities\nDeploy, configure, and maintain Apache Kafka / Confluent Platform across development, UAT, and production environments.\nSupport Kafka cluster provisioning, broker configuration, topic creation, partitioning, replication, retention, and capacity management.\nPerform Kafka upgrades, patches, rolling restarts, configuration changes, and cluster expansion with minimal production impact.\nSupport deployment of Kafka components such as Schema Registry, Kafka Connect, Control Center, and supporting services.\nTroubleshoot production issues involving brokers, partitions, ISR, replication, consumer lag, throughput, latency, storage, and connectivity.\nManage Kafka security configuration, including TLS/mTLS, SASL, ACLs, certificates, keystores, and truststores.\nSupport Java/Spring Boot Kafka application deployments, including producer/consumer configuration and integration troubleshooting.\nWork with application, DevOps, infrastructure, and security teams to onboard new Kafka use cases and promote changes across environments.\nSupport CI/CD pipelines, deployment automation, configuration management, and release activities for Kafka and Kafka-based applications.\nPerform health checks, capacity planning, performance tuning, incident management, and root-cause analysis.\nMaintain operational documentation, deployment procedures, configuration standards, and recovery/runbook documentation.\nSupport high availability, disaster recovery, backup/restore, and multi-cluster replication requirements where applicable.\nMust-Have Skills\nStrong hands-on experience with Apache Kafka / Confluent Platform in production.\nStrong knowledge of Kafka architecture, brokers, partitions, replication, ISR, consumer groups, offsets, retention, and delivery semantics.\nHands-on experience with Kafka deployment, configuration, upgrades, patching, and operational maintenance.\nStrong Java and Spring Boot experience for Kafka producer/consumer integrations.\nStrong Linux, networking, JVM, troubleshooting, and production-support skills.\nExperience with Kafka security, particularly TLS/mTLS, SASL, ACLs, and certificates.\nConfluent Kafka experience.\nData streaming experience.\nGood-to-Have Skills\nExperience with Kubernetes, OpenShift, Anthos, Helm, and containerized Kafka deployments.\nExperience with Kafka Connect, Schema Registry, and Confluent Control Center.\nCI/CD experience with Jenkins, GitLab CI, Azure DevOps, or equivalent.\nMonitoring experience with Splunk, AppDynamics, Prometheus, Grafana, or Confluent monitoring tools.\nExperience with Kafka DR, multi-cluster architectures, replication, and migration activities.\nExperience supporting Kafka in banking, telecom, or other mission-critical environments.","description_format":"text","description_chars":3408,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T23:27:51Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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