{"id":3167234,"url":"https://alion.io/job/bitscale-founding-engineer-ai-infra-scale","title":"Founding Engineer - AI Infra & Scale","company":{"id":45033,"name":"BitScale","domain":"bitscale.ai","url":"https://alion.io/company/bitscale","size_band":"1-10","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ElasticSearch","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"OpenSearch","optional":false},{"name":"AWS","optional":true},{"name":"DynamoDB","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-10-23T17:36:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T17:36:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We're hiring a Founding Engineer focused on Scale, Stability and AI infra. As we ramp from thousands to millions of AI and enrichment calls daily, latency, throughput, and reliability become first-class product features. This role owns that frontier, making sure BitScale stays fast, predictable, and unbreakable as load grows 10x and then 10x again. You'll go deep into our Go backend, our AI/LLM infra, our data layer, and the other performance edges wherever scale hurts the most.\n\nResponsibilities: \nOwn performance and reliability of our Go backend services from API latency to background workers to long-running enrichment pipelines.\nDesign and build rate limiting, queueing, and backpressure systems that keep the platform predictable under spiky, bursty load.\nScale our NoSQL and search layer schema design, query optimisation, sharding, hot-key mitigation, and Elasticsearch / OpenSearch tuning.\nOptimise our AI/LLM infrastructure gateways, token routing, batching, caching, and fallbacks across model providers so we ship faster responses at lower cost.\nHunt down latency on both frontend and backend perf edges where it matters: initial paint, hydration, data fetching patterns, real-time updates.\nBuild the observability layer: metrics, traces, alerts, runbooks so we catch regressions before customers do.\nLead load testing, capacity planning, and incident response as we step up to each new order of magnitude.\nDirectly influence architecture and roadmap with the founders.\n\nRequirements: \n2-3+ years of experience building production backend systems that have actually been stressed by real traffic.\nSomeone who treats p99 latency, throughput, and error rates as product metrics, not afterthoughts.\nDeep ownership mindset: you don't just file a fix, you make sure it never happens again.\nComfortable in a high-intensity, highly agile environment.\nPragmatic engineer: knows when to ship scrappy and when to go deep on architecture.\nHungry to learn new languages, tools, and stacks on their own.\nPre-requisite Tech Stack: Go, NoSQL (MongoDB / DynamoDB / similar), Redis, Elasticsearch / OpenSearch, AWS.\n\nGood to Have: \nPrevious start-up or early-stage experience.\nDeep interest in system design, performance engineering, and scaling.\nExperience with event-driven systems, queues, or workflow engines.\nComfort going below the abstraction: profilers, flame graphs, EXPLAIN plans, network traces.\n\nSuccess in your first 6 months: \np99 latency cut by 50%+ on the hottest paths in the product.\nPlatform handles 10x current load without rate-limit-driven incidents or outages.\nLLM cost and latency measurably down through smarter routing, batching, and caching.\nA clear, instrumented view of where the next bottleneck is before it bites.\nSkills\nAWS, Elasticsearch, Go, Golang, OpenSearch","description_format":"text","description_chars":2795,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Artificial Intelligence","Sales Enablement","Lead Generation","Marketing & Sales 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