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Job Title: Infrastructure Lead Location: Pune, India Experience: 815 Year Employment Type: Full-Time ( 5 k) We are seeking an experienced Infrastructure Lead to build and scale modern cloud-native platforms powering AI applications and high-scale SaaS products at Sav.com. You will lead infrastructure architecture, DevOps, Kubernetes, cloud operations, automation, and platform engineering while ensuring security, reliability, and developer productivity across the organization. About Sav.com Sav.com is an ICANN-accredited domain registrar and marketplace empowering creators and businesses to buy, sell, and manage their digital identity globally. We offer low-cost domain registration, complimentary features, and Software-as-a-Service (SaaS) solutionsall powered by a modern, microservices-based platform handling high-scale traffic, real-time systems, and deep integrations across AI-driven and next-generation web technologies. Key Skills: Cloud Infrastructure Architecture: Design and manage scalable cloud infrastructure across AWS, Oracle Cloud (OCI), GCP, Azure, or equivalent cloud platforms. Kubernetes Operations: Build and operate production-grade Kubernetes clusters with autoscaling, high availability, and disaster recovery. Infrastructure as Code &; CI/CD: Develop Infrastructure as Code using Terraform/OpenTofu and automate deployments using modern CI/CD pipelines. Developer Platform Engineering: Design developer platforms supporting containerized applications, microservices, serverless workloads, and AI services. Optimisation: Optimise infrastructure performance, security, observability, and cloud costs. Observability: Build monitoring, logging, and alerting using modern observability stacks Security & Compliance: Implement secure networking, IAM, secrets management, and compliance best practices. Leadership & Collaboration:Collaborate with engineering teams to improve deployment velocity, platform reliability, and operational excellence. Mandatory Qualifications (Must-Haves): Experience Threshold:815 years of experience in Infrastructure, DevOps, Platform Engineering, or Cloud Engineering. Production Scale:Proven experience managing large-scale production infrastructure. Architecture Expertise:Strong expertise in Kubernetes, automation, cloud architecture, and scalable distributed systems. Cloud Platforms: AWS, OCI, GCP, Azure. Container Ecosystem:Kubernetes, Docker, Helm, ArgoCD, GitOps. Infrastructure as Code: Terraform/OpenTofu, Ansible.CI/CD Tooling: GitHub Actions, GitLab CI,Jenkins. Systems: Linux Administration & Networking. Automation Languages:Python, Bash, Go (preferred) for infrastructure automation. Observability Stack: Prometheus, Grafana, OpenTelemetry, Loki, ELK/OpenSearch. Data Layer: Redis, PostgreSQL, MySQL,MongoDB. Networking Services: API Gateways, Load Balancers, CDN, DNS, Reverse Proxy. Preferred Qualifications (Nice to Have): AI infrastructure and GPU workload orchestration. Experience with Supabase, Firebase, Neon, PlanetScale, or managed cloud-databases. Vector databases such as Pinecone, Weaviate, Milvus, Qdrant, or pgvector. AI developer platforms including LangChain, LangGraph, vLLM, Ollama, LiteLLM, MCP, and model serving platforms. Experience with edge computing, Cloudflare, serverless architectures, and CDN optimization. Knowledge of modern platform engineering, Backstage, developer portals, and internal developer platforms. Familiarity with Daytona, cloud development environments, and remote container-based development workflows. Hands-on experience supporting AI workloads and modern developer platforms is highly desirable. What We Offer Casual office environment with no dress code. Best-in-class insurance benefits for you and your family. Generous paid time off and sick days, including maternity leave. Opportunity to work on real-world, high-scale systems domains, auctions, and marketplace infrastructure. Exposure to cutting-edge AI and platform engineering initiatives with direct product impact. Clear opportunities for professional growth and career advancement. An ownership-driven, collaborative culture with a strong engineering focus. .
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.