{"id":1223208,"url":"https://alion.io/job/3i-infotech-kafka-engineer","title":"Kafka Engineer","company":{"id":180701,"name":"3i Infotech","domain":"3i-infotech.com","url":"https://alion.io/company/3i-infotech","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","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":["Thane, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":45000,"period":"year","method":"role_seniority_country_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T20:27:56Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Key Responsibilities\nApache Kafka (Event Streaming & Messaging)\nDesign, implement, and maintain high-throughput Kafka topics, partitions, and consumer groups.\nConfigure Kafka producers and consumers for optimal performance and reliability.\nEnsure message delivery guarantees and manage schema evolution using Confluent Schema Registry.\nMonitor and troubleshoot Kafka clusters, consumer lag, and broker performance.\nRedis (Distributed Caching & In-Memory Data Store)\nDesign and implement efficient caching strategies to improve application performance and reduce database load.\nUtilize Redis data structures such as Hashes, Lists, Sets, Sorted Sets, HyperLogLogs, and Geospatial indexes.\nConfigure and manage Redis Clusters, Sentinel deployments, Pub/Sub messaging, and persistence mechanisms.\nOptimize cache performance and resolve issues such as cache stampedes and memory fragmentation.\nMongoDB (NoSQL Database)\nDesign, implement, and optimize MongoDB databases, including Replica Sets and Sharded Clusters.\nDevelop efficient BSON document models while following MongoDB best practices.\nBuild optimized indexes (Compound, Partial, and Text Indexes) to improve query performance.\nDevelop complex aggregation pipelines and perform query optimization.\nPerformance Optimization & Modernization\nProfile and optimize end-to-end data flows across Kafka, Redis, and MongoDB.\nIdentify and resolve system bottlenecks including slow queries, consumer lag, caching issues, and storage inefficiencies.\nImplement modern data engineering best practices for scalable and reliable distributed systems.\nParticipate in database modernization and system optimization initiatives.\nRequired Skills\nTechnical Skills\n2-3 years of experience in backend or data platform engineering.\nStrong hands-on experience with: Apache Kafka\nRedis\nMongoDB\n\nGood understanding of: Distributed Systems\nEvent-Driven Architecture\nData Streaming\nCaching Strategies\nNoSQL Database Design\n\nExperience with Kafka Consumer Groups, Partitions, Schema Registry, and Message Delivery semantics.\nKnowledge of MongoDB Aggregation Framework, Indexing, Replication, and Sharding.\nFamiliarity with Redis Cluster, Sentinel, Pub/Sub, and advanced Redis data structures.\nUnderstanding of Linux environments, REST APIs, and monitoring tools.\nExperience with Git and Agile development methodologies.\nPreferred Qualifications\nExposure to enterprise-scale database modernization or migration projects.\nKnowledge of Docker, Kubernetes, CI/CD pipelines, or cloud platforms (AWS, Azure, or GCP) is an added advantage.\nFamiliarity with monitoring and observability tools such as Prometheus, Grafana, or ELK Stack.","description_format":"text","description_chars":2649,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","IT Outsourcing & Dedicated Teams","Business Process Outsourcing (BPO)","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-09-25T13:02:17Z"}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.625,"p_room":0.55,"age_days":24,"expected_fill_days":20,"reasons":["conf:9","win:tail","comp:junior,brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/3i-infotech-kafka-engineer","json_url":"https://alion.io/job/3i-infotech-kafka-engineer.json","meta":{"generated_at":"2026-09-27T03:39:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3449,"day_limit":5000,"remaining_today":1551,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}