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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 lifecycleunifying 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. No data migration, no compromised contextjust the complete, organization-specific visibility that teams and tools need to run flawless, evidence-backed investigations. About the Role We are looking for a skilled DevOps / Cloud Engineer to join our team and help shape the foundation of Rover's core infrastructure. In this role, you will be instrumental in automating and scaling our environments to ensure high availability and performance for our intensive data workloads. Our architecture is fundamentally cloud-agnostic and Kubernetes-native. We are building a highly portable platform designed to run anywhere, ensuring we aren't locked into a single vendor. If you are passionate about open-source infrastructure tools (like Terraform and Docker) and designing resilient, multi-cloud systems, we want you on our team. What You'll Do Cloud-Agnostic Infrastructure: Design, configure, and maintain robust, portable infrastructure across cloud environments using Terraform. Container Orchestration: Take ownership of deploying, managing, and scaling our containerized applications using Kubernetes, ensuring they can run seamlessly anywhere. Cloud Operations: Manage and optimize our footprint across major cloud providers while building abstractions over compute, storage, and messaging services that keep our platform portable. Pipeline Automation: Streamline and enhance our CI/CD workflows and deployment automation using tools like Make, Bash, and Kustomize. What We're Looking For A solid track record working as a DevOps, Cloud, or Infrastructure Engineer. Infrastructure as Code (IaC): Deep, demonstrated experience writing, structuring, and maintaining Terraform modules in production environments. Containerization: A strong administrative understanding of Docker and Kubernetes as universal deployment layers. Cloud Expertise: Strong hands-on experience navigating and managing major cloud ecosystems, with a mindset geared toward multi-cloud or vendor-neutral architectures. Automation Mindset: Proficiency in scripting (e.g., Bash, Make, Python) to eliminate manual toil and automate complex workflows. Core Systems Knowledge: A solid grasp of Linux server administration and cloud networking principles. Bonus Points Previous experience migrating workloads between cloud providers or building Bring Your Own Cloud (BYOC) deployment models. Previous experience working on data-intensive applications or within the cybersecurity space. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
