Skit.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.
The 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.
We're hiring a Lead DevOps Engineer to own this substrate and keep it ahead of the growth curve.
What you'll own:
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."
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.
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.
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.
Cost 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.
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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.
Technical leadership: Terraform-first IaC standards, production-readiness reviews, mentoring SREs. "Lead" means you raise the floor of the whole team.
Problems on our plate right now
Scaling stateful, self-hosted media servers past current concurrency ceilings — HPA on CPU doesn't cut it
Migrating LLM inference from managed APIs to self-hosted open-weight models on GPUs without breaking TTFT budgets
ASR, LLM, and telephony living in different clouds: interconnect topology that keeps the packet path short and private
Multi-region DR that satisfies bank audits without doubling spend
If these read as interesting rather than terrifying, keep reading.
Must-have
6+ years hands-on cloud infrastructure; 3+ years operating multiple clouds simultaneously in production; deep expertise in at least two of AWS/GCP/Azure
Real-time audio/video systems in production — WebRTC, SIP/PSTN, or streaming media; you've debugged jitter, not just read about it
