Lead DevOps Engineer (5-8 Years)

airtel; Gurugram District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

airtel is seeking a Senior DevOps Engineer to build and manage the cloud-native foundation for a large Agentic AI Platform. The role involves operating high-scale production platforms and ensuring reliable execution of AI workloads in a sovereign cloud environment.

Ideal candidates have 5-8 years of experience in DevOps, strong skills in Kubernetes, and proficiency in Infrastructure as Code. Expect a focus on reliability, automation, and collaboration with AI engineering teams.

Qualifications

• 5–8 years of experience in DevOps, SRE, or Platform Engineering roles.
• Strong hands-on experience with Kubernetes and container orchestration.
• Experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi).

Responsibilities

• Design, build, and operate CI/CD pipelines for AI, data, and platform services.
• Automate infrastructure provisioning using IaC (Terraform, Helm, etc.).
• Implement observability for AI agents, data pipelines, and platform services.

Skills

Kubernetes

CI/CD systems

Infrastructure as Code (Terraform, CloudFormation, Pulumi)

Linux systems

Distributed systems

Job description

Role Overview

We are looking for a Senior DevOps Engineer to build and operate the cloud-native foundation for a large scale Agentic AI Platform on ACP (Airtel Sovereign Cloud Platform). This role is for engineers who have operated high-scale production platforms, understand automation-first DevOps, and want to work deep in the AI + data infrastructure layer. You will enable reliable, secure, and scalable execution of LLMs, AI agents, and data platforms across a sovereign cloud environment.

Responsibilities & Accountabilities

• Design, build, and operate CI/CD pipelines for AI, data, and platform services.
• Build and manage Kubernetes-based platforms for scalable agent and model workloads.
• Automate infrastructure provisioning using IaC (Terraform, Helm, etc.).
• Implement observability (logging, metrics, tracing) for AI agents, data pipelines, and platform services.
• Ensure high availability, resilience, and performance of production systems.
• Drive security, isolation, and governance for multi-tenant AI workloads.
• Work closely with data, AI, and platform engineering teams to productionize systems.
• Support release management, incident response, and root cause analysis.

Required Skills & Experience

• 5–8 years of experience in DevOps, SRE, or Platform Engineering roles.
• Strong hands‑on experience with Kubernetes and container orchestration.
• Proven experience building and operating CI/CD systems at scale.
• Experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi).
• Solid understanding of:

• Linux systems and networking fundamentals
• Distributed systems and cloud‑native architectures

• Experience supporting high‑scale, production‑grade platforms.
• Exposure to end‑to‑end SDLC and production operations.

Good to Have

• Experience operating AI/ML or data platforms in production.
• Exposure to LLM serving, GPU workloads, or AI runtimes.
• Experience with public cloud platforms (AWS, GCP, Azure).
• Knowledge of service meshes, ingress, and networking at scale.
• Familiarity with security, secrets management, and compliance.
• Open‑source contributions or experience running open‑source platforms.

What We Offer

• Ownership of core platform reliability and automation for Agentic AI.
• Opportunity to operate a sovereign, hyperscale AI and data platform.
• Strong focus on automation, reliability, and engineering excellence.
• Work alongside deeply technical data, AI, and platform teams.
• Clear growth path into Staff / Principal Platform or SRE roles.

If you enjoy building platforms that power AI systems at scale and care deeply about reliability and automation, this role is for you.