Duration: 3–6 Months (Full-Time)

Paid: Rs. 15,000 per month

About Rover AI

We are building Rover AI, the Agentic SIEM designed to shatter the indexing wall and operate at petabyte scale. We represent the entire SecOps lifecycle—unifying a next-generation SIEM, AI Automated Detection Engineering, and an Autonomous SOC into a single platform. By working directly over our customers' existing data footprint, Rover unlocks unlimited historical retention and instant searchability without vendor lock-in.

About the Role

We are looking for an ambitious, curious DevOps / Cloud Engineering Intern eager to learn how to build resilient, multi-cloud platforms from the ground up. You will work side-by-side with our senior engineers to automate deployments, support our container ecosystem, and build vendor-neutral infrastructure capable of handling high-throughput, data-intensive workloads.

What You'll Do

- Hands-on Infrastructure as Code: Assist in writing and organizing modular Terraform configurations to deploy resources across cloud platforms.
- Kubernetes & Containers: Help package applications using Docker and maintain workloads on Kubernetes clusters.
- CI/CD & Tooling: Improve developer velocity by crafting deployment pipelines, automation hooks, and utilities using Bash, Make, and Kustomize.
- Observability & Reliability: Monitor pipeline health, track system metrics,



and troubleshoot build or runtime issues alongside the engineering team. What We're Looking For
- Academic or Practical Foundation: Currently pursuing (or recently completed) a degree in Computer Science, Software Engineering, or equivalent practical project experience.
- Linux Fundamentals: High comfort level working in a terminal environment and understanding core OS concepts.
- Scripting Skills: Working knowledge of at least one scripting language (e.g., Python, Bash) to automate repetitive tasks.
- Foundational Cloud & Container Knowledge: Basic familiarity with Docker concepts (images, containers, registries) and exposure to at least one cloud provider (AWS, GCP, or Azure).
- Builder Mindset: Solid problem-solving skills, curiosity about how distributed systems scale, and an eagerness to learn modern DevOps practices. Bonus Points
- Personal homelab projects, contributions to open-source infrastructure tools, or a public GitHub repo showcasing container/IaC experiments.
- Basic familiarity with Kubernetes concepts (Pods, Services, Deployments).
- An interest in distributed systems, big data infrastructure, or cybersecurity. Would you like to tailor this for a specific candidate pool (such as undergraduate co-ops vs. recent graduates) or add specific details regarding compensation, academic credit, and mentorship structure?

📌 Cloud / DevOps Engineering Intern (Pune)
🏢 Rover
📍 Pune