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Job Summary We are looking for an experienced Operation Engineer to manage, maintain and optimise our cloud-native infrastructure, AI-related services and database systems. You will be responsible for Kubernetes cluster operations, infrastructure automation, system monitoring and troubleshooting, as well as collaborating with cross-functional teams to ensure high availability, stability and performance of online services. Key Responsibilities · Deploy, operate, monitor and troubleshoot Kubernetes (K8s) clusters and containerised workloads to ensure stable production environments. · Develop automation scripts and internal tools using Python, Java or Go to reduce manual workload. · Manage and maintain databases, including routine maintenance, performance tuning, backup and recovery, and fault resolution. · Build and maintain observability systems, including log collection, metrics monitoring and performance tracking. · Collaborate with development teams to optimise CI/CD workflows and improve delivery efficiency. · Perform daily system checks, incident handling, root cause analysis, and implement optimisation plans. Required Qualifications & Core Skills · Minimum 5 years of experience in DevOps, system operations, or cloud-native environments. · Hands-on experience deploying, managing and troubleshooting Kubernetes clusters. · Proficiency in at least one programming language: Python, Java or Go. · Experience operating or maintaining AI/ML systems and related infrastructure. · Good understanding of Linux, networking and cloud-native architecture. · Strong problem-solving and troubleshooting skills.
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.