{"id":520146,"url":"https://alion.io/job/skit-ai-lead-devops-engineer","title":"Lead DevOps Engineer","company":{"id":59516,"name":"Skit.ai","domain":"skit.ai","url":"https://alion.io/company/skit-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"C","score":64,"open_postings":10,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","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":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Baseten","optional":false},{"name":"CI/CD","optional":false},{"name":"Deepgram","optional":false},{"name":"DNS","optional":false},{"name":"ElevenLabs","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Istio","optional":false},{"name":"KEDA","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linkerd","optional":false},{"name":"LiveKit","optional":false},{"name":"LLM","optional":false},{"name":"Self-Healing","optional":false},{"name":"Service Mesh","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SOC 2","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Terraform","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Triton","optional":false},{"name":"Vault","optional":false},{"name":"Vertex AI","optional":false},{"name":"vLLM","optional":false},{"name":"Voice Agents","optional":false},{"name":"WebRTC","optional":false},{"name":"WebSockets","optional":false},{"name":"Whisper","optional":false},{"name":"Zero Trust","optional":false},{"name":"FinOps","optional":true},{"name":"Twilio","optional":true}],"status":"live","first_seen_at":"2026-09-07T13:10:16Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-28T03:52:14Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":50},"description":"Job Title: Lead DevOps Engineer\nLocation: Bengaluru (100% WFO)\nJob Type: Full-time\nThe problem\nSkit.ai runs autonomous voice agents for regulated enterprises - India's largest banks and telcos, and US collections operations. Every call is a live distributed system: PSTN/SIP → media server → ASR → LLM → TTS → back, spread across three clouds and multiple vendors, with a conversational response budget measured in hundreds of milliseconds.\nThe platform peaks at roughly **1 million calls per hour**. Billed minutes grew **5,000x+ in eight months**. At this scale, infrastructure is not a support function - latency, cost-per-minute, and auditability are product features. When infra degrades, a customer mid-sentence hears silence.\nWe're hiring a Lead DevOps Engineer to own this substrate and keep it ahead of the growth curve.\nWhat you'll own:\n Multi-cloud substrate: Production infrastructure across AWS, GCP, and Azure. Private interconnects (Direct Connect, Cloud Interconnect, ExpressRoute), transit/hub-spoke topologies, and cross-cloud latency managed as an explicit budget - p95 per hop in tens of milliseconds, not \"best effort.\"\n Real-time media plane: Self-hosted LiveKit and SIP infrastructure at scale. Media servers are stateful; you'll design session-affine, event-driven autoscaling (KEDA-class) that survives traffic tripling within an hour.\n Model-serving infrastructure: GPU fleets (A100/H100/B200-class) for self-hosted ASR and open-weight LLMs - inference optimization, prefix caching, sticky-session routing, sub-500ms TTFT budgets - alongside managed APIs (Vertex AI/Gemini, Bedrock, Azure). Vendor failover is your design, not your incident.\n Reliability & observability: OTel-native tracing (Grafana/Tempo stack), per-turn latency attribution across telephony/ASR/LLM/TTS, automated incident response and self-healing. You'll act as incident commander for infrastructure and write the runbooks you'd want at 3 a.m.\nCost engineering: Cost-per-minute is an SLO here. We cut per-minute serving cost ~18x in six months through caching, rightsizing, autoscaling, and workload re-architecture - you'll own the next 10x.\n Security & compliance: Zero Trust across clouds: private endpoints/PrivateLink, IAM/RBAC, secrets management with rotation, WAF/DDoS protection. Operate controls for SOC 2 and ISO/IEC 27001; working command of ISO/IEC 42001:2023 (AI management systems) - hands-on preferred, rigorous theoretical grounding acceptable. You'll face bank and telecom auditors directly, including data-residency requirements.\nTechnical leadership: Terraform-first IaC standards, production-readiness reviews, mentoring SREs. \"Lead\" means you raise the floor of the whole team.\nProblems on our plate right now\nScaling stateful, self-hosted media servers past current concurrency ceilings - HPA on CPU doesn't cut it\nMigrating LLM inference from managed APIs to self-hosted open-weight models on GPUs without breaking TTFT budgets\nASR, LLM, and telephony living in different clouds: interconnect topology that keeps the packet path short and private\nMulti-region DR that satisfies bank audits without doubling spend \nIf these read as interesting rather than terrifying, keep reading.\nMust-have\n6+ years hands-on cloud infrastructure; 3+ years operating multiple clouds simultaneously in production; deep expertise in at least two of AWS/GCP/Azure\nReal-time audio/video systems in production - WebRTC, SIP/PSTN, or streaming media; you've debugged jitter, not just read about it\nNetworking depth: VPC/VNet design, load balancing, DNS, NAT; private connectivity (Direct Connect / Cloud Interconnect / ExpressRoute, PrivateLink / Private Service Connect); transit gateways and cross-cloud mesh\nKubernetes at scale (EKS/GKE/AKS), Helm, and scaling *stateful* workloads; service mesh familiarity (Istio/Linkerd)\nInfrastructure as Code: Terraform (non-negotiable) across multi-account/multi-project estates; drift is a bug\nAI/ML serving in production: GPU allocation and scheduling, inference servers or serverless GPU platforms (vLLM / Triton / Modal / Baseten-class), streaming protocols (WebRTC, WebSocket, gRPC)\nProduction STT/TTS/LLM API operations: streaming integrations, quota management, multi-vendor failover (Deepgram / Google / Azure / Whisper-class ASR; ElevenLabs / Azure-class TTS)\nSecurity fundamentals: IAM/RBAC, secrets management (Vault or cloud-native), encryption and key rotation\nCI/CD: GitHub Actions or GitLab CI with security scanning integrated into the pipeline\nStrong signal (nice-to-have)\nLiveKit, pipecat, Twilio, or comparable real-time platforms; SIP trunking and PSTN integration\nKEDA or other event-driven autoscaling used in anger\nMLOps: model versioning, canary and A/B rollout\nFinOps discipline: reserved/spot strategy, unit-economics reporting\nCertifications: AWS SA Professional, GCP Professional Cloud Architect, Azure Solutions Architect Expert\nISO/IEC 42001:2023 exposure\nWhat we're NOT looking for\nSingle-cloud depth with documentation-level knowledge of the other two\nTool-checklist DevOps without production AI/ML serving scars\n\"Can learn quickly\" as the primary qualification - this role needs day-one production credibility\nAnyone who has never traced a packet across a cloud boundary","description_format":"text","description_chars":5244,"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":["Conversational AI","Speech & Audio AI","AI Agents","Contact Center Software"],"lifecycle":[{"event":"open","at":"2026-09-07T23:54:50Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.384,"p_room":0.45,"age_days":50,"expected_fill_days":30,"reasons":["conf:2","stale_co","win:tail"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/skit-ai-lead-devops-engineer","json_url":"https://alion.io/job/skit-ai-lead-devops-engineer.json","meta":{"generated_at":"2026-10-28T07:47:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9986,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59516},"rest":"https://alion.io/mcp/rest/get_company?id=59516"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fskit-ai-lead-devops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fskit-ai-lead-devops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fskit-ai-lead-devops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/skit-ai-lead-devops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fskit-ai-lead-devops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":520146}},{"tool":"search_jobs","arguments":{"company":"skit.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":520146},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}