# Senior AI-Enabled DevOps Engineer

**Company:** [PointClickCare](https://hotfix.jobs/companies/pointclickcare)
**Location:** Remote
**Role:** DevOps / SRE
**Salary:** $134k – $149k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, Docker, Terraform, AWS, GCP, Azure, CI/CD, GitHub Actions, Gitlab Ci, Jenkins, Argo CD, GitOps, Prometheus, Grafana, Datadog
**Posted:** 2026-04-01

> Designs, builds, and operates scalable cloud infrastructure and developer platforms supporting AI/ML workloads. Owns end-to-end systems, builds CI/CD pipelines, ensures reliability with observability tools, and integrates AI-assisted DevOps practices. Requires 5+ years experience with cloud platforms, Kubernetes, and IaC.

## Job Description

## Responsibilities
- Design, implement, and operate cloud-native infrastructure for production workloads.
- Build and maintain CI/CD pipelines for applications and ML systems.
- Develop and manage infrastructure-as-code to ensure consistency, scalability, and repeatability.
- Improve deployment reliability through automation, testing, and rollout strategies.
- Support AI/ML workloads, including model deployment, scaling, and monitoring.
- Integrate AI-assisted tools into DevOps workflows to improve alert quality and noise reduction, incident triage and root-cause analysis, capacity planning and performance optimization.
- Design and maintain observability solutions using metrics, logs, and traces.
- Participate in on-call rotations and lead incident response for complex issues.
- Continuously improve system resilience through proactive automation.
- Partner with application, platform, and data teams to deliver reliable systems.
- Provide technical guidance and code reviews for devops team members.
- Contribute to architecture discussions and influence technical direction within your domain.
- Document standards, runbooks, and best practices.

## Requirements
**Must-haves**
- 5-8+ years of progressive experience designing and implementing large-scale, automated infrastructure and CI/CD Pipelines.
- Strong experience with cloud platforms (AWS, GCP, or Azure).
- Hands-on expertise in cloud-native architectures and microservices.
- Infrastructure as Code (Terraform, IaC 2.0, etc.).
- Containers and **Kubernetes**.
- CI/CD systems (**GitHub Actions**, **GitLab CI**, **Jenkins**, **ArgoCD**).
- Strong knowledge-level of CI/CD best practices, **GitOps** workflows and deployment strategies (blue/green, canary).
- Proficiency in scripting or programming (**Python**, **Bash**, **Go**, etc.).
- Demonstrated ability to write custom scripts for deployment, monitoring and system tasks.
- Experience with monitoring, logging, and alerting tools (**Prometheus**, **Grafana**, **ELK**, **Datadog**).
- Exposure to AI/ML workloads.
- Strong knowledge of containerization and orchestration (**Docker**, **Kubernetes**).
- Solid understanding of networking, security principles, and high-availability architectures.

**Nice-to-haves**
- 3+ years in healthcare technology or other highly regulated SaaS environments (financial services, government).
- Experience with AI-driven monitoring or AIOps tools.
- Knowledge of cloud cost optimization strategies.
- Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, **Certified Kubernetes Administrator (CKA)**.
- Experience with security automation and **DevSecOps** practices.

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**Apply:** https://hotfix.jobs/jobs/23a6c7ce-100f-4d29-801e-6eec2c0bf5a7
**Canonical:** https://hotfix.jobs/jobs/23a6c7ce-100f-4d29-801e-6eec2c0bf5a7