Lead Infrastructure Engineer

Job Title: Infrastructure Lead

• Location: Pune, India
• Experience: 8–15 Year
• Employment Type: Full-Time

(𝘞𝘰𝘳𝘬 𝘍𝘳𝘰𝘮 𝘖𝘧𝘧𝘪𝘤𝘦 — 5 𝘋𝘢𝘺𝘴 𝘢 𝘞𝘦𝘦k)

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 — 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:8–15 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.