Member of Technical Staff, Infrastructure/DevOps

Member of Technical Staff, Infrastructure/ DevOps | San Francsico | AI Infrastructure About the Role We are seeking a hands-on Senior DevOps Engineer to design, build, and operate highly scalable cloud infrastructure that supports mission-critical applications and engineering teams.

This individual will drive platform reliability, modernize deployment processes, and implement cloud-native best practices across AWS and Kubernetes environments. The ideal candidate has extensive experience with Kubernetes, Infrastructure as Code, CI/CD automation, cloud networking, observability, and GitOps methodologies.

You thrive in complex environments, enjoy solving operational challenges at scale, and are passionate about enabling developer productivity through automation. Logistics Work Environment: Onsite Compensation: $250k - $300k on base + benefits + bonus

What You'll Do

• Build and operate Kubernetes platforms across AWS and hybrid environments.
• Manage multi-cluster infrastructure, networking, security, and autoscaling.
• Automate infrastructure using Terraform and GitOps tools like ArgoCD.
• Develop and optimize CI/CD pipelines, deployment strategies, and release automation.
• Improve observability with Prometheus, Grafana, Datadog, and centralized logging.
• Manage Helm charts, Kubernetes deployments, and platform tooling.
• Drive reliability through monitoring, incident response, SLOs, and automation.
• Enhance platform security, secrets management, and cloud operations.

Required Qualifications

• 8+ years of DevOps, SRE, Platform, or Infrastructure Engineering experience.
• Strong production Kubernetes and AWS expertise.
• Advanced Terraform and Infrastructure-as-Code experience.
• Hands-on GitOps experience with ArgoCD, Flux, or similar tools.
• Strong CI/CD background with Jenkins, GitLab, Azure DevOps, GitHub Actions, or AWS CodePipeline.
• Experience with Helm, containers, and cloud-native architectures.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, and Datadog.
• Proficiency in Python, Bash, or Go.
• Strong networking, security, and troubleshooting skills.

Preferred Qualifications

• Experience with Istio, Cilium, Linkerd, or other service meshes.
• Large-scale EKS or multi-cluster Kubernetes environments.
• AI/ML, GPU, or high-performance compute infrastructure experience.
• Technical leadership or mentoring experience.

EOE Statement

Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change. To find out more about Huxley, please visit www.huxley.com