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Overview: We're looking for a hands-on, mid-level Infrastructure Engineer focused primarily on infrastructure management automating operations with Python and scripting, operating our container platform, maintaining delivery pipelines, and supporting the databases and services the wider team depends on. You'll work alongside senior engineers, owning well-scoped areas and growing into broader responsibility. Key Responsibilities Automation & tooling Write and maintain Python and shell tooling to automate provisioning, operations, monitoring, and day-to-day platform tasks. Container orchestration Deploy, monitor, and troubleshoot workloads on a container-orchestration platform, including packaging apps and managing environment config. CI/CD pipelines Build and maintain automated build, test, and deploy pipelines; help teams ship changes safely and repeatably. Build & runner infrastructure Support the self-hosted build/runner fleet and container image registry the pipelines rely on. Data services & secrets Assist with database deployments, upgrades, scaling, and backups; manage credentials through a centralized secrets store (no hardcoded credentials). Observability & releases Operate monitoring and dashboards, respond to alerts, and support multi-stage data/application releases. Cloud provisioning Provision and maintain cloud compute, storage and secrets across dev, stage, and production. Required Skills & Experience 24 years in a DevOps, infrastructure, platform, or SRE role. Strong Python and shell scripting for automation and tooling a core, day-to-day part of this role. Hands-on experience with a major public cloud provider, container technologies, and a container-orchestration platform. Experience building and maintaining CI/CD pipelines. Comfortable working in Linux environments. Solid Git fundamentals and working knowledge of secrets management. Methodical troubleshooting and a documentation-friendly approach. Nice to Have Exposure to Azure and Google Cloud Platform (GCP). Operating databases (relational, graph, search, or analytical) in production. Observability tooling, supply-chain security practices, or data-intensive / ML workloads. Interest in the life-sciences / biomedical domain. .
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.