Senior DevOps Engineer (Team Lead)

70% Hands-On | Cloud & On-Prem | AI Platform

Why Join Us?

Lead and grow our DevOps function in a hands-on leadership role combining deep technical ownership (70% hands-on) with people management. Manage a team of 4 DevOps engineers while remaining directly involved in architecture, infrastructure, automation, and customer-facing deployments. Play a critical role in designing and operating highly reliable, scalable, and secure infrastructure supporting our AI platform across AWS, Azure, GCP, and air-gapped on-prem environments.

Key Responsibilities

• Design, develop, and maintain cloud infrastructure across AWS, Azure, and GCP

• Own platform delivery and deployment in customer environments (public cloud and air-gapped on-prem using OpenShift and Docker)

• Lead and manage a team of 4 DevOps engineers, including technical guidance, prioritization, and mentoring

• Manage Infrastructure as Code using Terraform

• Build, scale, and operate Kubernetes clusters and containerized applications

• Implement automation for deployment, monitoring, alerting, and incident response

• Develop and maintain Python and Bash scripts for automation, integrations, and internal tooling

• Troubleshoot complex networking, connectivity, and security issues (TCP/IP, UDP, VPNs, DNS, routing, firewalls)

• Collaborate closely with engineering and product teams to optimize deployment strategies and system reliability

• Support customer onboarding, including technical setup, deployment sessions, and architecture discussions

• Continuously improve CI/CD pipelines, operational processes, and platform reliability

Requirements

• 5+ years of experience in DevOps/Infrastructure roles in startup or technology-driven environment, OR leadership experience in DevOps roles during military service plus 2+ years of industry experience

• Proven hands-on experience with at least two major cloud providers (AWS, Azure, GCP); deep experience with Azure highly preferred

• Strong experience with on-prem environments; OpenShift experience is a significant plus

• Solid programming skills in Python and Bash for automation, tooling, and scripting

• Strong background in Linux systems administration

• Extensive experience with Kubernetes, Docker, and container orchestration

• Strong understanding of networking fundamentals: TCP/IP, UDP, DNS, VPNs, routing, firewalls

• Experience with Terraform or other Infrastructure as Code tools

• Excellent problem-solving and troubleshooting skills

• Strong communication skills with ability to work directly with customers, engineers, and stakeholders

Preferred Qualifications

• Experience with all three major cloud providers (AWS, Azure, GCP)

• Familiarity with CI/CD tools (GitHub Actions)

• Experience deploying AI/ML platforms or similar complex systems

Tech Stack: AWS, Azure, GCP, OpenShift, Kubernetes, Docker, Terraform, GitHub, GitHub Actions, Helm, Python, Bash, Linux, IaC