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    Job · 21320229

    BENGALURU · FULLTIME

    Lead DevOps Engineer

    Skit.ai

    Skit.ai

    Bengaluru · onsite · Posted 4d ago

    Sourced fromInstahyre
    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), and streaming protocols (WebRTC, WebSocket, and gRPC).
    • Production STT/TTS/LLM API operations: streaming integrations, quota management, and 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.

    Sourced from instahyre

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    Section · 02

    Skills

    Devopsgoogle cloud platformamazon web servicesMicrosoft AzureLarge Language Models (LLMs)

    Section · Company

    About Skit.ai

    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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