Lead Infrastructure Engineer

Sav.com; Maharashtra; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Insurance benefits

Generous paid time off

Maternity leave

Ownership-driven culture

Job summary

Sav.com is seeking an experienced Infrastructure Lead to build and scale cloud-native platforms powering AI applications and high-scale SaaS products. You will lead infrastructure architecture, DevOps, Kubernetes, cloud operations, automation, and platform engineering to improve security, reliability, and developer productivity.

In this role you will mentor teams, drive scalable designs, and collaborate with product and engineering to accelerate deployment velocity and platform reliability

Qualifications

• 8–15 years of experience in Infrastructure, DevOps or Platform Engineering.
• Strong Kubernetes, automation, cloud architecture and scalable distributed systems.
• Terraform/OpenTofu and Ansible for IaC/automation, CI/CD familiarity.

Responsibilities

• Lead infrastructure architecture and platform engineering across cloud services.
• Oversee DevOps, Kubernetes operations, and automation initiatives.
• Ensure security, reliability, and developer productivity at scale.

Skills

Cloud Infra Architecture

Kubernetes Operations

Infrastructure as Code

CI/CD Automation

Developer Platform Eng.

Observability & Monitoring

Security & Compliance

Leadership & Collaboration

Tools

GitHub Actions

GitLab CI

Jenkins

Job description

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) 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.

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:8–15 years of experience in Infrastructure, DevOps, Platform Engineering, or Cloud Engineering.
• Architecture Expertise:Strong expertise in Kubernetes, automation, cloud architecture, and scalable distributed systems.
• Infrastructure as Code: Terraform/OpenTofu, Ansible.CI/CD
• Tooling: GitHub Actions, GitLab CI,Jenkins.
• Automation Languages:Python, Bash, Go (preferred) for infrastructure automation.
• Observability Stack: Prometheus, Grafana, OpenTelemetry, Loki, ELK/OpenSearch.
• 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.