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This role is for one of Weekday's clients Min Experience: 4+ years Location: Gurugram, Haryana, India, Gurgaon, Haryana, India JobType: full-time We are looking for a highly skilled and entrepreneurial Founding Infrastructure Engineer with 4-10 years of experience to build, scale, and own the infrastructure powering our next generation of products and AI workloads. This is an early engineering role with significant ownership, where you will work closely with the founding team to design infrastructure from the ground up and establish systems that are reliable, scalable, secure, and cost-efficient. The ideal candidate has strong hands-on expertise in infrastructure, GPU computing, and Kubernetes, with a deep understanding of distributed systems and cloud-native technologies. You should be comfortable operating in an ambiguous, fast-paced environment and taking projects from architecture and design through implementation and production operations. Requirements Key Responsibilities Design, build, and operate highly available and scalable infrastructure for production and compute-intensive workloadsArchitect and manage GPU infrastructure for machine learning, AI, and other high-performance computing workloadsDesign, deploy, and maintain Kubernetes clusters across cloud and/or on-premise environmentsOptimize GPU utilization, scheduling, networking, storage, and compute resources to maximize performance and cost efficiencyBuild infrastructure automation using Infrastructure as Code and modern DevOps practicesEstablish reliable deployment, monitoring, observability, alerting, and incident-response systemsDevelop scalable solutions for container orchestration, workload scheduling, resource allocation, and service discoveryManage infrastructure lifecycle, including provisioning, upgrades, capacity planning, performance tuning, and disaster recoveryWork closely with application and ML engineers to provide reliable infrastructure for model training, inference, experimentation, and production servicesIdentify infrastructure bottlenecks and proactively improve system reliability, performance, scalability, and securityDefine engineering best practices around infrastructure architecture, Kubernetes operations, CI/CD, and production readinessParticipate in technical strategy and help shape the infrastructure roadmap as an early member of the engineering team Must-Have Skills 4-10 years of hands-on experience in infrastructure engineering, platform engineering, DevOps, or SREStrong expertise in infrastructure architecture and operations across production environmentsDeep hands-on experience with Kubernetes, including cluster architecture, deployments, networking, storage, scheduling, and troubleshootingStrong understanding of GPU infrastructure, GPU provisioning, utilization, scheduling, and performance optimizationExperience working with containerization technologies such as Docker and Kubernetes-based workloadsStrong understanding of Linux systems, networking, compute, storage, and distributed systemsExperience with cloud infrastructure and services, preferably AWS, GCP, or AzureProficiency with Infrastructure as Code tools such as Terraform and configuration-management/automation toolsExperience building CI/CD pipelines and automated infrastructure workflowsStrong debugging and problem-solving skills across complex production environments Good-to-Have Skills Experience with NVIDIA GPUs, CUDA, GPU operators, or GPU orchestrationExperience managing large-scale GPU clusters or AI/ML infrastructureKnowledge of Kubernetes operators, Helm, service meshes, and cluster autoscalingExperience with high-performance networking, distributed storage, and workload schedulersExposure to ML platforms, model serving, inference infrastructure, or large-scale training systemsExperience with observability tools such as Prometheus, Grafana, OpenTelemetry, or similar technologiesExperience building infrastructure at an early-stage startup or as an early engineering hire .
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.