{"id":1110721,"url":"https://alion.io/job/omnenest-technologies-software-engineer","title":"Software 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":"senior","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":{"min_usd":16500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"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":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Redis","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-09-22T11:30:16Z","employer_posted_date":null,"last_verified_at":"2026-09-22T11:30:16Z","board_verified":false,"closed_at":null,"days_open":46,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":46},"description":"This is not a feature-driven role. This position focuses on production reliability, performance engineering, distributed systems correctness, and platform ownership. You will serve as the technical authority ensuring our capital markets infrastructure remains highly available, low-latency, and fault-tolerant under extreme load.\nThe core responsibilities for the job include the following:\nPlatform Stabilization and Production Ownership:\nAct as the L3/L4 technical escalation point for critical backend and middleware systems.\nLead Root Cause Analysis (RCA) and post-incident hardening for complex production outages.\nDiagnose and eliminate latency spikes, Kafka consumer lag, DB contention, memory pressure, and GC pauses.\nTransition the engineering culture from firefighting to systemic, long-term stabilization.\nNon-Functional Requirements (NFR) Ownership:\nOwn, define, and enforce platform benchmarks across throughput, high availability, fault tolerance, and backpressure handling.\nIdentify and eliminate runtime risks, including lock contention, message ordering failures, retry storms, and resource exhaustion.\nDistributed Systems and Event-Driven Architecture:\nEnsure correctness in Kafka event architectures: consumer group rebalancing, offset management, idempotency, dead-letter handling, and event replay.\nArchitect and optimize high-throughput Golang microservices and low-latency APIs.\nData Tier and Real-Time Performance Tuning:\nOptimize PostgreSQL performance under high concurrency (query tuning, indexing, partitioning, and connection pooling).\nDesign robust Redis caching strategies and work with OLAP telemetry pipelines (ClickHouse + Grafana).\nRule Engine Architecture and Productization:\nArchitect configurable, high-performance in-memory rule engines to support dynamic, client-specific trading workflows without hardcoding business logic.\nCodebase Takeover and Team Mentorship:\nLead structured knowledge transfer and takeover of legacy codebases from external vendors.\nMentor mid-level engineers (3-5 years' experience) on production debugging, concurrency patterns, and distributed systems thinking.\nRequirements:\nExperience: 6-8+ years of core backend engineering experience with strong production exposure in fintech, trading, capital markets, or high-transaction systems.\nGolang Expertise: Deep, low-level proficiency in Go runtime behavior, memory profiling (pprof, trace), concurrency patterns (channels, goroutines, sync/atomic), and context propagation.\nEvent Systems: Deep hands-on experience running Kafka in high-throughput production environments (consumer rebalancing, lag diagnostics, partitioning, and partitioning strategies).\nDatabase Optimization: Proven track record tuning PostgreSQL and Redis for low-latency, high-concurrency workloads.\nIncident Management: Direct experience owning live production incidents, conducting post-mortems, and engineering preventative fixes.\nStrongly Preferred:\nLow-latency, high-frequency trading or exchange-integrated environment experience.\nHands-on Kubernetes production exposure (K8s debugging, resource limits, traffic management).\nWebSockets, real-time streaming architectures, or FIX protocol knowledge.\nPrior experience taking over, stabilizing, and refactoring vendor-built or legacy codebases.\nExposure to distributed databases (e. g., CockroachDB).","description_format":"text","description_chars":3338,"description_truncated":false,"requirements":{"experience_years_min":6,"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 AI"],"lifecycle":[{"event":"open","at":"2026-09-22T11:30:16Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long 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