We are looking for a Lead DevOps and Platform Engineer who combines strong software engineering expertise with deep cloud infrastructure and platform engineering experience. This role is ideal for someone who started as a Backend/Software Engineer (Python, Java, Go, or Node.js ) and evolved into leading DevOps, Platform Engineering, or Cloud Infrastructure initiatives. You'll architect scalable AI infrastructure, build cloud-native platforms, and enable high availability, reliability, and rapid product delivery.

Responsibilities

- Design and manage highly scalable cloud infrastructure on AWS (GCP/Azure exposure is a plus).

- Architect multi-region, high-availability (HA), and disaster recovery (DR) cloud platforms.

- Build and manage Kubernetes (EKS/GKE) clusters for large-scale AI and microservices deployments.

- Design networking, storage, compute, VPCs, NAT Gateways, PrivateLink, and secure cloud architectures.

- Automate infrastructure using Infrastructure as Code (Terraform, CloudFormation).

- Partner with engineering teams to build cloud-native, auto-scaling applications.

- Review backend architectures and contribute to platform tooling using Python, Java, Go, or Node.js .

- Implement observability using distributed tracing, logging, metrics, and monitoring.

- Lead production incident management, root cause analysis (RCA), and platform reliability improvements.

- Optimise CI/CD pipelines and integrate security best practices into deployment workflows.

- Mentor engineering teams on cloud architecture, Kubernetes, DevOps, and platform engineering best practices.

Requirements





- 8-12 years of experience in Software Engineering, DevOps, Platform Engineering, or Cloud Infrastructure.

- Strong backend development experience with Python, Java, Go, or Node.js .

- Deep expertise in AWS and cloud infrastructure architecture.

- Hands-on experience with Kubernetes (EKS/GKE) and Docker.

- Strong knowledge of Infrastructure as Code using Terraform or CloudFormation.

- Experience designing High Availability (HA) and Disaster Recovery (DR) architectures.

- Strong understanding of networking, VPCs, load balancing, storage, and cloud security.

- Experience building and supporting large-scale microservices and distributed systems.

- Strong troubleshooting, performance optimisation, and incident management skills.

- Experience working in AI, SaaS, or startup environments is preferred.

Good To Have

- CI/CD tools (Jenkins, GitHub Actions, GitLab CI).

- Service Mesh (Istio/Linkerd).

- Observability tools (Prometheus, Grafana, OpenTelemetry).

- Security scanning (SAST/DAST).

- CKA Certification.

- Experience with AI infrastructure, LLM inference, and vector databases.

- Robust technical leadership with a hands-on approach.

- Ownership mindset and ability to drive platform initiatives end-to-end.

- Excellent problem-solving and architectural thinking.

- Passion for building scalable cloud-native systems.

- Ability to mentor engineering teams and collaborate across functions.

Top Skills (Instahyre Skills Section)

- AWS and Cloud Architecture.

- Kubernetes and Platform Engineering.

- Backend Development (Python/Java/Go/Node.js ).

- Terraform and Infrastructure as Code.

📌 Engineering & DevOps Lead (Anupgarh)
🏢 Alion
📍 Anupgarh