{"id":3752255,"url":"https://alion.io/job/omnenest-technologies-lead-engineer","title":"Lead Engineer","company":{"id":1040304,"name":"OmneNEST Technologies","domain":"omnenest.com","url":"https://alion.io/company/omnenest-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"CockroachDB","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-11-04T15:36:10Z","employer_posted_date":null,"last_verified_at":"2026-11-04T15:36:10Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are building and stabilising mission-critical trading and capital markets platforms handling real-time market data, transactions, portfolio systems, and enterprise integrations.\n\nWe are looking for a Lead Golang Platform Engineer who will act as:\nStabilization anchor\nNFR owner\nDistributed systems authority\nProduction escalation point\nArchitecture guardrail for the backend team\nThis role is not feature-driven.\nIt is about production reliability, performance engineering, and platform ownership.\n\nThe candidate will have responsibilities across the following functions: \n\nPlatform Stabilisation and Production Ownership: \nAct as L3/L4 escalation for backend/middleware systems.\nLead root cause analysis (RCA) for production incidents.\nDiagnose latency spikes, Kafka consumer lag, DB contention, and memory pressure.\nReduce firefighting by fixing systemic issues.\nOwn post-incident hardening.\n\nNon-Functional Requirements (NFR) Ownership: \nOwn and enforce:\nPerformance benchmarks\nThroughput targets\nHigh availability standards\n\nFault tolerance and graceful degradation: \nBackpressure handling\nResource efficiency\n\nIdentify and eliminate risks in: \nLatency\nGC pauses\nLock contention\nMessage ordering issues\nRetry storms\n\nDistributed Systems and Event Architecture: \nDesign and stabilise systems built on:\nGolang\nPostgreSQL\nKafka\nRedis\n\nEnsure correctness in: \nConsumer group balancing\nOffset management\nIdempotency design\nRetry strategies\nDead-letter handling\nEvent replay\nBackpressure management\n\nArchitect and optimise: \nEvent-driven microservices\nHigh-throughput APIs\nConcurrent workflows\n\nAdvanced Data and Real-Time Systems: \nOptimise SQL query performance under load.\nImprove indexing, partitioning, and connection pooling.\nDesign Redis caching strategies for low latency.\nWork with OLAP systems (ClickHouse + Grafana).\nOptional exposure to distributed databases (CockroachDB).\n\nProductisation and Rule-Driven Architecture\nArchitect configurable, rule-driven workflows.\nEnable admin-driven client workflow customization.\nImplement high-performance in-memory rule evaluation.\nPrevent business logic from becoming hardcoded chaos.\n\nObservability and Release Hygiene: \nImprove logging, tracing, and metrics across services.\nDefine actionable dashboards (Prometheus / Grafana).\nImprove release discipline, rollback strategies, and versioning.\nEnsure dev/staging/prod parity.\n\nVendor Transition and Codebase Ownership: \nLead structured knowledge transfer from external vendors.\nTake ownership of legacy codebases without destabilising production.\nIdentify high-risk components and stabilise incrementally.\nEstablish backend engineering standards.\n\nTeam Enablement: \nMentor 3-5-year engineers\nTeach production debugging\nGuide distributed systems thinking\nRaise code quality standards\nAct as technical anchor (not people manager initially)\n\nRequirements: \n6-8+ years of backend engineering.\nStrong production experience in fintech/trading / transaction-heavy systems.\nDeep expertise in Golang: Concurrency patterns, Context propagation, Runtime behaviour, Memory profiling.\nStrong Kafka production knowledge: Consumer groups, Rebalancing, Offset handling, Lag diagnostics.\nStrong PostgreSQL performance tuning experience.\nExperience handling real production incidents in live systems.\nProven NFR ownership.\n\nStrongly Preferred: \nExperience in low-latency trading environments.\nKubernetes production exposure.\nRedis performance optimisation.\nWebSockets / streaming systems.\nExchange-integrated or regulated systems.\nVendor-built system takeover experience.\n\nWho This Role Is For: \nThis role is for someone who:\nStays calm during production incidents\nThinks in distributed systems, not endpoints\nCan read messy legacy code and stabilise it\nUnderstands performance at the runtime level\nWants to own platform reliability\nIf you want to only build features, this role is not for you.\nIf you want to own the stability of capital markets infrastructure, it is.\nSkills\nGo, Golang, Kafka, 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