Sarvam
Technology
DevOpsEngineer-StudioPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DevOps Engineer - Studio Platform at Sarvam. Skills: Kubernetes, CI/CD, Cloud infrastructure, Observability. Operate production Kubernetes clusters. Manage multi-role deployments”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
3+ years DevOps experience, 3+ years SRE experience, 3+ years Infrastructure Engineering experience, Kubernetes production experience, Proficiency one major cloud, CI/CD pipelines experience, Containerization experience, Linux systems knowledge, Scripting proficiency Python, Scripting proficiency Bash, Networking understanding, Secrets management experience, Redis familiarity
Nice to Have
Multi-cloud environments experience, GPU workloads on Kubernetes experience, ML model serving infrastructure experience, Service mesh technologies experience, GitOps workflows experience, Event-driven autoscaling experience, Media/audio/video processing experience, Infrastructure-as-code tools experience, Multi-tenant Kubernetes clusters experience, Cloud certifications
What You'll Do.
Operate production Kubernetes clusters
Manage multi-role deployments
Manage horizontal pod autoscalers
Manage node pool scheduling
Build CI/CD pipelines
Optimize CI/CD pipelines
Manage Helm-based deployments
Maintain application charts
Manage shared module dependencies
Manage environment-specific value overlays
Manage promotion workflows
Implement observability across services
Maintain observability across services
Operate cloud infrastructure
Optimize cloud infrastructure
Manage multi-cloud coordination
Ensure secrets management
Optimize async task queue infrastructure
Monitor database performance
Optimize database performance
Build developer productivity tooling
Own incident response
Drive cost optimization
How You'll Work.
Team & Collaboration
Fast-paced team environment; Small team environment
Process & Methodology
Agile
Full Job Description
About Sarvam Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC. About the Role We are seeking a driven and highly skilled DevOps Engineer to join the Studio engineering team at Sarvam. Studio is our creative media platform — powering AI dubbing, live translation, voice cloning, and more across 12+ Indian languages for enterprise media companies and millions of creators. You will own the operational reliability, deployment velocity, and infrastructure automation for a production system that orchestrates ML-heavy workloads at scale. The platform runs a multi-service architecture on Kubernetes with GPU inference servers, async task queues, multi-stage ML pipelines, and real-time delivery — across a multi-cloud setup. You will be the person who keeps this running, makes it faster to ship, and ensures it scales with growing demand. What You’ll Do - Own and operate production Kubernetes clusters — managing multi-role deployments (API servers, task schedulers, per-stage workers, WebSocket servers), horizontal pod autoscalers, CronJobs, and node pool scheduling - Build and optimize CI/CD pipelines— automated testing, container image builds, registry management, staged rollouts across QA/staging/production, and deployment notifications - ManageHelm-based deployments— maintaining application charts, shared module dependencies, environment-specific value overlays, and promotion workflows - Implement and maintain observabilityacross services — metrics collection, dashboards, error tracking, and distributed tracing to catch issues before customers do - Operate and
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