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Objectives of this position The objective of the position is to maintain and optimize a fully automated, GitOps-driven cloud infrastructure. Act as a highly resolutive, self-driven operational backup in the absence of the DevOps & Cloud Manager, keeping production systems stable and secure with minimal supervision. What will you do? Maintain Code-Driven Infrastructure: Maintain and scale declarative Infrastructure as Code (IaC) solutions via Terraform across complex, large-scale codebases, prioritizing reusable module design, state optimization, and drift prevention. Manage Automated Workflows & GitOps: Oversee the end-to-end lifecycle of Kubernetes clusters using GitOps practices (ArgoCD) and manage automated infrastructure workflows, ensuring zero manual intervention in the deployment pipeline. Autonomous Incident Resolution: Drive technical incidents to resolution with a high degree of autonomy, performing deep root-cause analysis and utilizing automated monitoring/alerting frameworks to proactively maintain system health. Enforce Rigorous Quality Standards: Ensure all infrastructure code, automated workflows, and configurations meet strict quality gates. Author and maintain comprehensive, crystal-clear technical documentation for all architectures and automation processes. Support Data & AI Automation: Maintain the automated provisioning and scaling of infrastructure for Data and AI workloads, including GPU-enabled Kubernetes nodes and cloud-native AI pipeline components. Enterprise SaaS Administration: Programmatically configure and manage enterprise platforms, including Bitbucket Cloud (RBAC, branch strategies) and SonarQube Cloud (Quality Gates). Contribute to Future Migrations: Participate actively in the long-term planning and execution of our multi-year strategic migration from Azure to Google Cloud Platform (GCP) and from Argo Workflows to Azure DevOps pipelines. What will you need? Background: Degree holder in Computer Science, Software Engineering, or a closely related field (or 3–5 years of equivalent commercial experience in a SysAdmin/DevOps discipline). Experience Tier: 3–5 years of commercial experience working as a DevOps Engineer in highly automated, multi-contributor enterprise environments. Automation Workflow & GitOps Depth: Solid understanding of event-driven automation workflows and extensive hands-on experience running Kubernetes workloads using GitOps tools (ArgoCD or equivalent). Large-Scale IaC: Proven experience handling Terraform inside large repositories, including clean state management and writing modular, linted, reusable code. Cloud Platforms: 2+ years of administrative experience with Microsoft Azure cloud services. Familiarity with Google Cloud Platform (GCP) or Azure DevOps is a strong plus due to upcoming migration initiatives. Containerization & Code Quality: Strong proficiency in Docker (creating secure, unprivileged, size-optimized containers) and familiarity with running code quality automation tools (like SonarQube). Mindset: Highly resolutive problem-solver who takes strict ownership of tasks and thrives in an environment that requires minimal micromanagement. Development opportunities: Gain deep exposure to enterprise-scale multi-cloud migrations and modern AI infrastructure engineering. Learn new tools through hands-on proof-of-concept projects.
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.