About this opportunity
Stealth Startup lists this DevOps Engineer [32796] opportunity in san mateo, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The company is seeking a skilled DevOps Engineer to build and maintain robust infrastructure supporting our AI-powered dental platform. You will automate deployments, optimize cloud resources for ML workloads, and ensure seamless scalability for high-volume dental imaging and analytics. This role is pivotal in enabling engineering velocity while upholding security and reliability in a regulated healthtech environment.
Responsibilities
Design, implement, and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD for rapid, reliable AI model and application deployments.
Provision and optimize infrastructure as code (Terraform, Pulumi) across AWS/GCP, including Kubernetes clusters, VPCs, and GPU instances for ML training/inference.
Monitor and troubleshoot production systems with Prometheus, Grafana, ELK stack, ensuring proactive issue resolution and 99.99% availability.
Enhance security postures through automated scans, compliance checks (HIPAA), and zero-trust practices for sensitive dental data.
Collaborate with engineering teams to automate data pipelines, cost management, and disaster recovery strategies.
Drive infrastructure improvements, capacity planning, and on-call rotations to support 24/7 global operations.
Document processes, contribute to runbooks, and evangelize DevOps best practices across the organization.
Who you are
You are passionate about automation, treating infrastructure as disposable code to enable developer productivity.
You excel in fast-paced settings, diagnosing complex issues across distributed systems with calm precision.
You communicate clearly, bridging gaps between developers, data scientists, and leadership on infra needs.
You prioritize reliability and security, especially in health-regulated domains, while optimizing for velocity.
You continuously learn emerging tools and apply them to solve real bottlenecks in AI/ML workflows.
You take ownership end-to-end, from design to post-mortems, fostering a culture of blameless improvement.
Qualifications
5+ years in DevOps, SRE, or platform engineering roles, with hands‑on experience in cloud‑native environments.
Expertise in IaC (Terraform/CloudFormation), container orchestration (Kubernetes/EKS/GKE), and scripting (Bash/Python/Go).
Proficiency in CI/CD tools, monitoring stacks, and networking; experience with ML ops (e.g., Kubeflow, Sagemaker) preferred.
Strong Linux/Unix fundamentals, with knowledge of databases, queues, and load balancers in production.
Track record supporting high‑scale, data‑intensive apps; healthtech or AI experience a plus.
Familiarity with security tools (Vault, Falco) and compliance frameworks like HIPAA/SOC2.
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Worksite address
san mateo, CA, 94409, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.