Lead DevOps Engineer

Responsibilities:

• Design, implement and manage scalable cloud infrastructure on AWS (primary), GCP and Azure.
• Design, develop and maintain auto-scaling solutions to support high-availability and performance demands.
• Ground-up design of multi-region network architectures for enterprise, including securing these networks in layered trust zones.
• Design and build subnets, VPC peers/inks, and NAT gateways at scale.
• Ground-up experience setting up high availability and disaster recovery systems aligned with specified RPOs and RTOs.
• Automate infrastructure management using Infrastructure-as-code tools.
• Set up, monitor and manage large-scale Kubernetes clusters for seamless application deployment.
• Set up and management of persistent volumes for different PODs with prior experience managing these at scale.
• Set up experience and understanding of best practices on setting up network policies within the Kubernetes cluster.
• Design, build and maintain CI/CD pipelines with a focus on improving developer productivity
• Very good understanding of key Devops metrics (ex, DORA) and had experience improving the same
• Work closely with software engineering teams to align DevOps strategies with development goals.
• Provide technical guidance to developers on best practices for deploying and scaling applications.
• Implement robust monitoring/observability tools to track system health and application performance.
• Able to troubleshoot critical issues and develop proactive solutions to prevent downtime.
• Ensure security measures (SAST, DAST, etc. ) are integrated into DevOps processes and workflows.
• Manage security audits and planning for their renewals.

Requirements:

• 8+ years of experience in DevOps, cloud infrastructure, or related roles for medium or large scale startups.
• Proven track record in designing and managing large-scale cloud services across.
• AWS, GCP and Azure platforms, including design of HA and DR setups.
• Strong hands-on technical experience, someone who can lead by example.
• Prior experience working in a medium-tier startup or in AI/SaaS companies is a strong advantage.
• Excellent troubleshooting skills with a focus on root cause analysis and prevention.
• Prior experience in designing for compliance standards.
• Certified Kubernetes Administrator (CKA) - preferred.
• Prior experience designing deployment architectures (compute, storage and network) for complex systems (like microservices, data warehouses/lakes, etc).