Job Description

We are seeking a highly skilled Lead DevOps Engineer to oversee and manage our cloud infrastructure, CI/CD pipelines, and overall DevSecOps strategies. This role is critical for ensuring smooth deployment processes, cost-effective cloud management, and robust security practices across multiple platforms. The ideal candidate will have strong expertise in cloud platforms such as AWS, Azure, or GCP, along with a deep understanding of FinOps and DevSecOps principles. Responsibilities Oversee cloud infrastructure administration focusing on AWS while supporting Azure and GCP environments as required. Monitor and enhance system reliability, incident management, and fault-tolerant infrastructure. Ensure compliance with DevSecOps best practices, integrating security into the development lifecycle. Optimize cloud costs and efficiency, driving FinOps practices for resource utilization. Monitor system performance and health using telemetry tools, identifying potential issues proactively. Automate processes to reduce manual intervention and enhance system reliability. Troubleshoot critical issues and enhance system performance. Design, implement, and manage CI/CD pipelines for seamless software delivery. Ensure compliance with industry security standards, including HITRUST, SOC 2, and similar frameworks Lead effective project management efforts, ensuring timely delivery of objectives while mentoring and managing junior engineers Qualifications: Bachelors degree in CS or ECE. 6+ years of DevOps experience, including 2+ years in leadership. Proficiency in AWS (preferred), Azure, or GCP cloud platforms. In-depth knowledge of Kubernetes for container management. Expertise in cloud-native deployment architectures using tools like Kubernetes, Crossplane, Terraform, Helm, and ArgoCD. Expertise in DevSecOps and integrating security at all stages of the development pipeline. Hands-on experience with FinOps for cloud cost optimization. Familiarity with telemetry and monitoring tools like Prometheus, Grafana, or ELK stack. Proficiency in shell scripting, and knowledge of Python programming Demonstrated experience in system reliability engineering and incident management. Strong communication, leadership, and mentorship skills, with a proven track record of effective project and people management. Familiarity with AI-first systems or prior experience supporting AI-based workloads is a plus.