DevOps Engineer

The company is seeking a skilled Dev Ops 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.

• Design, implement, and manage CI/CD pipelines using tools like Jenkins, Git Hub 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 Dev Ops best practices across the organization.

• 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.

• 5+ years in Dev Ops, SRE, or platform engineering roles, with hands‑on experience in cloud‑native environments.
• Expertise in IaC (Terraform/Cloud Formation), 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/SOC
  2.

Mid‑Senior level

Full‑time

Technology, Information and Internet