{"id":2307178,"url":"https://alion.io/job/datamaticstechnologies-junior-kafka-engineer-datamatics-technologies","title":"Junior 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":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"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":"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":"Docker","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":"2026-10-12T17:29:50Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Title: Junior Kafka Engineer\nEmployment Type: Full-Time\nWork Arrangement: Onsite\nLocation: Islamabad\nExperience Required: Minimum 3 years\nEducation: Minimum Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a relevant field\nResponsibilities\nSupport the deployment, configuration, and maintenance of Apache Kafka / Confluent Platform across development, UAT, and production environments.\nAssist with Kafka cluster provisioning, broker configuration, topic creation, partitioning, replication, retention, and capacity management.\nSupport Kafka upgrades, patches, rolling restarts, configuration changes, and cluster expansion under guidance from senior engineers.\nSupport Kafka components including Schema Registry, Kafka Connect, Confluent Control Center, and related services.\nMonitor and troubleshoot Kafka issues involving brokers, partitions, ISR, replication, consumer lag, throughput, latency, storage, and connectivity.\nSupport Kafka security configurations including TLS/mTLS, SASL, ACLs, certificates, keystores, and truststores.\nAssist with Java/Spring Boot Kafka application deployments, including producer and consumer configuration and integration troubleshooting.\nWork with application, DevOps, infrastructure, and security teams to onboard 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 routine health checks, monitoring, performance analysis, incident troubleshooting, and root-cause analysis with support from senior team members.\nMaintain operational documentation, deployment procedures, configuration standards, troubleshooting guides, and runbooks.\nSupport high availability, disaster recovery, backup/restore, and multi-cluster replication activities where applicable.\nParticipate in production support and assist with resolving Kafka-related incidents.\nMonitor Kafka environments and proactively identify issues related to performance, availability, storage, and consumer lag.\nMust-Have Skills\nMinimum 3 years of relevant IT/software engineering experience, with hands-on exposure to Apache Kafka / Confluent Platform.\nHands-on experience working with Apache Kafka in development or production environments.\nGood understanding of Kafka architecture, including brokers, topics, partitions, replication, ISR, consumer groups, producers, consumers, offsets, retention, and delivery semantics.\nExperience with Kafka deployment, configuration, administration, monitoring, and operational maintenance.\nHands-on knowledge of Java and Spring Boot, particularly for Kafka producer and consumer integrations.\nGood working knowledge of Linux, networking fundamentals, JVM concepts, troubleshooting, and production support.\nUnderstanding or hands-on experience with Kafka security, including TLS/mTLS, SASL, ACLs, certificates, keystores, and truststores.\nExperience working with Confluent Kafka / Confluent Platform.\nUnderstanding of real-time data streaming and event-driven architectures.\nAbility to troubleshoot basic Kafka issues involving consumer lag, broker connectivity, partitions, replication, offsets, and application integrations.\nGood-to-Have Skills\nExposure to Kubernetes, OpenShift, Anthos, Helm, or containerized Kafka deployments.\nExperience or familiarity with Kafka Connect, Schema Registry, and Confluent Control Center.\nCI/CD exposure using Jenkins, GitLab CI, Azure DevOps, or equivalent tools.\nMonitoring experience using tools such as Splunk, AppDynamics, Prometheus, Grafana, or Confluent monitoring tools.\nUnderstanding of Kafka disaster recovery, multi-cluster architectures, replication, and migration activities.\nExperience working with Kafka in banking, telecom, financial services, or other mission-critical environments.\nExposure to Docker and containerized applications.\nBasic understanding of capacity planning, performance tuning, and Kafka cluster 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