Senior AI-Enabled DevOps Engineer

TL;DR

Senior AI-Enabled DevOps Engineer (AI/ML): Design, build, and operate scalable cloud infrastructure and developer platforms for application and AI-driven workloads with an accent on CI/CD pipelines, infrastructure-as-code, and observability solutions. Focus on deploying AI/ML models, automating incident response, improving system resilience, and integrating AI tools into DevOps workflows.

Location: Remote (USA). Occasional travel required to Mississauga or Salt Lake City offices for onboarding, team events, and meetings.

Salary: $134,000 - $149,000 a year

Company

Leading health tech company building cloud platforms for long-term and post-acute care providers, serving 30,000+ organizations.

What you will do

• Design, implement, and operate cloud-native infrastructure for production workloads.
• Build and maintain CI/CD pipelines for applications and ML systems.
• Develop infrastructure-as-code for consistency, scalability, and repeatability.
• Support AI/ML workloads including model deployment, scaling, and monitoring.
• Design observability solutions using metrics, logs, traces, and AI-assisted tools for alerts and incident triage.
• Participate in on-call rotations, lead incident response, and provide technical guidance to the team.

Requirements

• 5-8+ years designing large-scale automated infrastructure and CI/CD pipelines.
• Strong experience with cloud platforms (AWS, GCP, or Azure).
• Hands-on with cloud-native architectures, microservices, Terraform, Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI, Jenkins, ArgoCD).
• Proficiency in scripting (Python, Bash, Go) and monitoring tools (Prometheus, Grafana, ELK, Datadog).
• Exposure to AI/ML workloads, networking, security, and high-availability architectures.
• Ability to own systems end-to-end and work in distributed environments.

Nice to have

• 3+ years in healthcare or regulated SaaS environments.
• Experience with AI-driven monitoring, AIOps, cloud cost optimization, or DevSecOps.
• Advanced certifications (AWS DevOps Engineer-Professional, CKA).

Culture & Benefits

• Flexible Paid Time Off, Parental & Caregiver Leaves, Wellness Support.
• Retirement Plan Matching, Fertility & Adoption Support, Employee Assistance Program.
• Continuous Development Support, Allyship and Inclusion Communities, Employee Recognition.
• Transparent work with OKRs, retrospectives, data-driven decisions, and Scrum.
• Benefits starting from Day 1, plus bonus, equity, and total rewards package.