Senior DevOps Engineer
About The Position
We are seeking a Senior DevOps Engineer to design, build, and scale secure infrastructure supporting AI workloads across cloud and edge environments. This is a high-impact individual contributor role where you will help drive infrastructure architecture, platform reliability, and security best practices across the organization. You will work closely with engineering teams to implement scalable, automated infrastructure solutions that enable our AI platform to operate efficiently across diverse deployment scenarios—from public cloud to hybrid and edge environments. This role requires strong technical depth, production experience, and the ability to translate complex requirements into resilient infrastructure systems.
Requirements
- 5–8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering supporting production systems
- Strong expertise with Docker, Kubernetes, and cloud-native architectures
- 3–5+ years of hands-on experience implementing Infrastructure as Code (Terraform, Pulumi, Ansible)
- Experience working with AWS, Azure, or GCP including compute, networking, and managed services
- Proven experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
- Programming experience in Python (preferred), Go, or Bash for automation
- Experience implementing monitoring and observability in production environments
- Strong understanding of cloud security best practices and access management
- Strong communication skills and ability to collaborate cross-functionally
Nice To Haves
- Exposure to multi-cloud or hybrid cloud environments
- Experience supporting AI/ML or MLOps workflows
- Familiarity with service mesh technologies (Istio, Linkerd)
- Experience with edge computing or distributed systems
- Understanding of cost optimization and cloud efficiency practices
- Relevant certifications (CKA, AWS Solutions Architect, Terraform Associate, etc.)
Responsibilities
- Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
- Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using GitOps workflows and automated validation
- Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices
- Develop secure CI/CD pipelines with integrated security controls (SAST, DAST, vulnerability scanning, secrets management)
- Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management
- Implement observability and monitoring frameworks using tools such as Prometheus, Grafana, ELK, or Datadog
- Enforce security best practices including IAM, encryption, network segmentation, and compliance automation
- Participate in incident response, reliability improvements, postmortems, and disaster recovery planning
- Develop reusable infrastructure modules and documentation (runbooks, architecture docs, standards)
- Mentor junior and mid-level engineers on DevOps best practices and infrastructure design
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision benefits package.
- 401k Match (US-based only)
- $200/mos Health and Wellness Stipend
- $400/year Continuing Education Credit
- $500/year Function Health subscription (US-based only)
- Free parking, for in-office employees
- Unlimited Approved PTO
- Parental Leave for Eligible Employees
- Supplemental Life Insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
