Cloudsufi
Platform Engineer(DevOps & MLOps/AgentOps & GCP) | Noida( Hybrid)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,500,000 / year
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
2 September 2026
What they need
About Us:
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/
About the role
CloudSufi is hiring an AgentOps Engineer to own the runtime, infrastructure, and operational monitoring for an AI agent testing platform deployed for an enterprise client. You will deploy and instrument agents for testing, set up observability and continuous evaluation on live traffic, and manage the cloud infrastructure the platform runs on.
Responsibilities:
Deploy and instrument AI agents for testing and monitoring.
Set up observability traces, logs, and metrics — and continuous evaluation on production traffic.
Build drift detection and alerting so quality regressions are caught early.
Own the cloud infrastructure and CI/CD automation supporting the platform.
Manage environments, access, and operational reliability.
Required qualifications:
5+ years in DevOps, MLOps, or platform engineering.
Strong Google Cloud experience (Cloud Run, Cloud Build, Pub/Sub, Cloud Logging and Monitoring, IAM) or equivalent cloud platform.
Experience with CI/CD automation and infrastructure as code.
Familiarity with deploying LLM or AI agent workloads.
Preferred qualifications:
Experience with OpenTelemetry and AI/agent observability.
Exposure to Vertex AI, Gemini Enterprise Agent Platform, or ADK.
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