Engineering & DevOps Lead

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.
• Strong 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.