Intermediate AI-Enabled DevOps Engineer

TL;DR

Intermediate AI-Enabled DevOps Engineer (Cloud/AI): Build, operate, and support cloud infrastructure and deployment pipelines for application and AI-enabled workloads with an accent on automation, reliability, and scalability. Focus on implementing infrastructure-as-code, optimizing CI/CD pipelines, managing containerized workloads in Kubernetes, and leveraging AI tools for log analysis, incident response, and operations.

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

Salary: $106,000 - $118,000 a year

Company

Leading health tech company building cloud platforms for long-term and post-acute care, serving over 30,000 providers with AI-accelerated innovation.

What you will do

• Implement and maintain cloud infrastructure using infrastructure-as-code tools like Terraform.
• Support and improve CI/CD pipelines for applications and ML workloads.
• Operate containerized workloads in Kubernetes or managed platforms.
• Automate repetitive tasks and assist with deploying/monitoring AI/ML workloads.
• Monitor system health, respond to incidents, and participate in on-call rotations.
• Collaborate with engineering teams, document procedures, and contribute to reliability improvements.

Requirements

• 2-4+ years in DevOps, Cloud, SRE, or Infrastructure Engineering
• Experience with at least one cloud provider (Azure, AWS, or GCP)
• Hands-on with scripting (Bash, Python), IaC (Terraform), CI/CD, containers (Docker), Kubernetes concepts, monitoring/logging/alerting
• Focus on reliability, scalability, operational excellence, and automation
• Bachelor's degree in Computer Science or related field
• Comfortable with on-call rotations

Nice to have

• 2+ years in healthcare or regulated SaaS environments
• Familiarity with AI-driven monitoring, AIOps, or AI-assisted tools
• Cloud networking/security fundamentals
• Advanced certifications (AWS/GCP/Azure, CKA, CKS, CISSP)

Culture & Benefits

• Transparent, data-driven work with OKRs, retrospectives, and blameless post-mortems
• Flexible Paid Time Off, retirement plan matching, wellness programs from Day 1
• Parental/caregiver leaves, fertility/adoption support, continuous development programs
• Employee Assistance Program, allyship communities, recognition programs
• Scrum-based delivery, inclusive environment focused on learning and equity