{"id":43053,"url":"https://alion.io/job/gsstechgroup-technology-engineer-redis-kafka","title":"Technology Engineer - (Redis & Kafka)","company":{"id":5362,"name":"GSS Group","domain":"gsstechgroup.com","url":"https://alion.io/company/gsstechgroup","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Git","optional":false},{"name":"GitOps","optional":false},{"name":"Jenkins","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Redis","optional":false},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-11-02T04:56:32Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"We are seeking an experienced Technology Engineer with strong expertise in Redis, Kafka, and cloud-native platform engineering to join our Technology Engineering team. The ideal candidate will be responsible for designing, implementing, administering, and optimizing enterprise Redis and Kafka platforms supporting high-performance, real-time, mission-critical applications.\nThe role requires strong experience in distributed systems, platform engineering, automation, DevOps, cloud technologies, CI/CD, and production support. The successful candidate will work closely with development, infrastructure, security, and operations teams to ensure platform scalability, resilience, performance, and security.\nRequirements\nKey Responsibilities\nDesign, implement, configure, and manage Enterprise Redis and Open Source Redis clusters.\nDeploy, administer, and optimize Apache Kafka clusters for high-throughput, real-time streaming environments.\nEnsure high availability, scalability, resilience, disaster recovery, and security of Redis and Kafka platforms.\nPerform Redis and Kafka performance tuning, capacity planning, health monitoring, and optimization.\nTroubleshoot complex production issues across distributed platform environments.\nManage platform upgrades, patching, configuration management, and lifecycle maintenance.\nBuild and maintain CI/CD pipelines using Git, Jenkins, ArgoCD, and GitOps methodologies.\nAutomate infrastructure provisioning and deployment using modern cloud automation tools.\nSupport cloud-native platform deployments across AWS, Azure, OCI, and OpenShift environments.\nCollaborate with development teams to support caching, messaging, streaming, and distributed application requirements.\nImplement monitoring, alerting, logging, and operational best practices for production environments.\nDrive platform governance, engineering standards, security compliance, and operational excellence.\nWork closely with Infrastructure, DevOps, Security, Architecture, and Application Engineering teams.\nSupport Agile delivery methodologies and participate in sprint planning, backlog refinement, and technical discussions.\nResearch, evaluate, and benchmark new platform technologies and engineering best practices.\nEnsure platform compliance with organizational security, regulatory, encryption, anonymization, and data integrity standards.\nRequired Technical Skills\nRedis\nStrong hands-on experience with Enterprise Redis and Open Source Redis.\nRedis Cluster design, deployment, administration, and management.\nRedis performance tuning and optimization.\nHigh Availability (HA), replication, clustering, backup, and disaster recovery.\nRedis security and production support.\nApache Kafka\nKafka installation, setup, configuration, and administration.\nHigh-throughput messaging platforms.\nKafka cluster management.\nKafka monitoring and troubleshooting.\nEvent-driven architecture implementation.\nDevOps & Platform Engineering\nOpenShift.\nJenkins.\nArgoCD.\nGit.\nGitOps.\nCI/CD pipeline implementation.\nInfrastructure automation.\nProduction platform support.\nCloud Technologies\nExperience working with one or more public cloud platforms:\nAWS\nMicrosoft Azure\nOracle Cloud Infrastructure (OCI)\nDistributed Systems\nStrong understanding of:\nDistributed systems architecture\nDistributed services resiliency\nNetwork fundamentals\nHost-level routing\nStreaming platforms\nDistributed caching\nPerformance tuning\nLarge-scale platform operations\nStreaming Technologies\nExperience with:\nKafka\nStreaming datasets at scale\nGood to have:\nKafka Streams\nApache Flink\nApache Beam\nApache Spark\nSimilar streaming technologies\nSoftware Engineering\nDesign patterns\nAutomated unit testing\nIntegration testing\nProduction troubleshooting\nPlatform monitoring\nCloud-native application architecture\nSecurity & Compliance\nStrong understanding of:\nSecurity engineering practices\nInfrastructure security\nEncryption\nData anonymization\nData integrity\nRegulatory compliance\nSecure logging practices\nPII handling\nMemory data protection\nVulnerability management\nFunctional Skills\nExperience working in Agile/Scrum environments.\nStrong analytical and problem-solving skills.\nExperience designing enterprise platform architectures.\nTechnology research and benchmarking.\nAbility to influence engineering decisions across multiple teams.\nStrong ownership mindset with minimal supervision.\nExcellent troubleshooting and production support capabilities.\nSoft Skills\nExcellent verbal and written communication skills.\nStrong stakeholder management and collaboration skills.\nStrategic thinking with an innovation and R&D mindset.\nSelf-motivated and proactive approach to problem-solving.\nAbility to work effectively in cross-functional and geographically distributed teams.\nStrong presentation and interpersonal skills.\nNice to Have\nApache Flink\nApache Beam\nKafka Streams\nApache Spark\nEvent-driven microservices\nCloud-native architectures\nInfrastructure as Code (IaC)\nKubernetes\nContainer orchestration\nLarge-scale financial services or enterprise platform experience\nPreferred Experience\nEnterprise Platform Engineering\nTechnology Platforms\nData Platforms\nReal-Time Streaming Platforms\nCloud Infrastructure\nHigh-Availability Distributed Systems\nBanking or Financial Services domain 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