# DevOps Support Engineer

**Company:** [MediaRadar](http://jobs.workable.com/companies/tFYbokYRWzVWAWiC9utfq7.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Technology

[Apply for this job](http://jobs.workable.com/view/8c8e98a0-915a-4aa2-bcac-f9806f730a19)

## Description

**Role Title: DevOps Support Engineer**

**Location: India Remote**

**About MediaRadar**

MediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.

With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage.

We are looking for a DevOps Support Engineer who can manage high-volume service requests and IT tickets, serve as the first line of support for infrastructure-related tasks, and use AI tools and prompt engineering to accelerate ticket resolution while maintaining internal SLAs.

**What You'll Do**

Ticket & Access Management

-   Execute standard access requests across Azure Entra ID, AWS IAM, and GitHub
-   Manage repository access and maintain centralized Entra groups for project-based resource assignments
-   Triage and resolve incoming “INTS” infrastructure and support tickets within defined SLAs (typically 5–10 business days)

Cloud Resource Operations

-   Provision and manage cloud resources including storage accounts (S3, Blob), Key Vaults, and Virtual Machines using standardized Terraform templates
-   Perform OS-level maintenance such as storage cleanup, file permissioning, and basic server troubleshooting
-   Support cost-optimization efforts by ensuring proper resource tagging and right-sizing cloud instances

Kubernetes Support

-   Manage namespace-level access and resource allocations within Kubernetes
-   Support developers with basic Kubernetes actions, including pod investigation and deployment verification via Argo CD
-   Facilitate the onboarding of new projects into the Kubernetes ecosystem

AI-Driven Workflow Optimization

-   Utilize AI coding agents (e.g., Claude) to generate scripts, validate Terraform plans, and troubleshoot infrastructure issues
-   Apply prompt engineering techniques to interact with Model Context Protocol (MCP) servers for automated policy checks and compliance verification
-   Contribute to the “Shared Services” knowledge base by documenting recurring solutions to enable developer self-service

## Requirements

**What You've Done**

-   Built foundational knowledge of AWS or Azure, including compute, storage, and networking
-   Developed an understanding of Kubernetes fundamentals, including namespaces, pods, and deployments
-   Gained proficiency using LLMs and applying prompt engineering techniques
-   Demonstrated the ability to triage technical issues and follow standard operating playbooks
-   Spent 0–2 years in a technical support, IT, or junior cloud role