{"id":3187380,"url":"https://alion.io/job/wissen-technology-principal-kafka-platform-engineer","title":"Principal Kafka Platform Engineer","company":{"id":412,"name":"Wissen Technology","domain":"wissen.com","url":"https://alion.io/company/wissen-technology","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"CI/CD","optional":true},{"name":"Flink","optional":true}],"status":"live","first_seen_at":"2026-10-23T09:14:58Z","employer_posted_date":null,"last_verified_at":"2026-10-23T09:14:58Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Experience: 8+ years (including 5+ years hands-on with Apache Kafka platform engineering)\nKey Responsibilities\n• Manage Kafka cluster lifecycle: provisioning, configuration tuning, upgrades, and decommissioning\n• Deploy, operate, and maintain Kafka on Kubernetes using Confluent for Kubernetes (CFK)\n• Monitor cluster health and set up alerting across consumer lag, broker health, and topic throughput\n• Design and operate disaster recovery and multi-region replication strategies\n• Enforce Kafka security policies including access reviews and ACL management\n• Troubleshoot performance bottlenecks, consumer lag issues, and broker failures\nMust Have\n• 8+ years in messaging/streaming platform engineering, with 5+ years on Apache Kafka platform engineering\n• Hands-on administration of self-managed on-premises Kafka clusters in KRaft mode\n• Confluent for Kubernetes (CFK): operator management and custom resource configuration\n• Kafka Connect: connector lifecycle, SMTs, and error handling\n• Confluent Schema Registry; 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