Job Title: Infrastructure Lead
- Location: Pune, India
- Experience: 8â15 Year
- Employment Type: Full-Time
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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) solutions â all 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.
Role Overview
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 organisation.
Key Responsibilities:-
- 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:8â15 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 â 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.
