BENGALURU · FULLTIME
DevOps Lead

Skit.ai
Bengaluru · onsite · Posted 4d ago
Sourced from
Not disclosed7–11 yrsfulltimeBengaluru
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Section · 01
About this role
Requirements:
- 6+ years of 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.
- Networking 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.
- Kubernetes at scale (EKS/GKE/AKS), Helm, and scaling *stateful* workloads; service mesh familiarity (Istio/Linkerd).
- Infrastructure as Code: Terraform (non-negotiable) across multi-account/multi-project estates; drift is a bug.
- AI/ML serving in production: GPU allocation and scheduling, inference servers or serverless GPU platforms (vLLM / Triton / Modal / Baseten-class), streaming protocols(WebRTC, WebSocket, gRPC).
- Production STT/TTS/LLM API operations: streaming integrations, quota management, multi-vendor failover (Deepgram / Google / Azure / Whisper-class ASR; ElevenLabs / Azure-class TTS).
- Security fundamentals: IAM/RBAC, secrets management (Vault or cloud-native), encryption and key rotation.
- CI/CD: GitHub Actions or GitLab CI with security scanning integrated into the pipeline.
Strong signal (nice-to-have):
- LiveKit, pipecat, Twilio, or comparable real-time platforms; SIP trunking and PSTN integration.
- KEDA or other event-driven autoscaling used in anger.
- MLOps: model versioning, canary and A/B rollout.
- FinOps discipline: reserved/spot strategy, unit-economics reporting.
- Certifications: AWS SA Professional, GCP Professional Cloud Architect, Azure Solutions Architect Expert.
- ISO/IEC 42001:2023 exposure.
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Section · 02
Skills
DevopsTerraformKubernetessreAksGoogle Kubernetes EngineAWS EKSamazon web services
Section · Company
About Skit.ai

Skit.ai
IT Services & Consulting
201
employees
Bangalore
IN
₹12.5L PA avg
Avg at Skit.ai
About
Skit.ai operates in the emerging technologies industry, specializing in conversational AI solutions for customer engagement and automation. Their careers page highlights opportunities in engineering, product development, sales, and customer success, reflecting a strong focus on building advanced voice AI platforms. By combining natural language processing with machine learning, Skit.ai helps enterprises streamline customer interactions while offering professionals careers in cutting-edge artificial intelligence innovation.
Industries
IT Services & Consulting
Employee ratings
10 reviews
3.0/ 5
Culture
3.0
Career growth
2.3
Work-life
3.7
Employees rate it well for
Work-Life Balance34Company Culture30
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