Intermediate AI-Enabled DevOps Engineer

PointClickCare

1d•Remote

About The Position

PointClickCare builds cloud platforms that power safer, more connected care for millions of patients. As an Intermediate DevOps Engineer, you will build, operate, support cloud infrastructure and deployment pipelines that enable application and AI-enabled workloads to run reliably. You work closely with senior engineers to implement best practices, automate operational tasks, and improve system reliability while continuing to deepen your technical expertise. This role is ideal for an engineer who is comfortable working in cloud environments with a focus in automation and is ready to take ownership of well-scoped systems and services.

Requirements

Working knowledge of cloud infrastructure and Linux-based systems.
Proven experience with CI/CD, and containers.
Focus in reliability, scalability, and operational excellence.
Automation experience, reducing repetitive operational tasks.
Willingness to learn new tools and technologies, including AI-enabled platforms.
Openness to feedback and continuous improvement.
Ability to communicate clearly and ask good technical questions.
2-4+ years of experience in DevOps, Cloud, SRE, or Infrastructure Engineering.
Experience with at least one cloud provider (Azure, AWS, or GCP).
Hands-on exposure to Scripting experience (Bash, Python, or similar).
Hands-on exposure to Infrastructure as Code (Terraform, IaC 2.0, or similar).
Hands-on exposure to CI/CD pipelines.
Hands-on exposure to Containers (Docker) and Kubernetes concepts.
Hands-on exposure to Monitoring, logging, and alerting tools.
Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
Demonstrated commitment to continuous learning.

Nice To Haves

2+ years in healthcare technology or other highly regulated SaaS environments (financial services, government).
Familiarity with AI-driven monitoring or AIOps tools.
Experience using AI-assisted development or operations tools.
Understanding of cloud networking and security fundamentals.
Experience supporting on-call.
Advanced certifications (AWS/GCP/Azure professional-level, CKA, CKS, CISSP) are highly valued.

Responsibilities

Implement and maintain cloud infrastructure using infrastructure-as-code.
Support and improve CI/CD pipelines for application and ML workloads.
Operate containerized workloads in Kubernetes or managed container platforms.
Assist in rolling out platform improvements and infrastructure changes.
Automate repetitive operational tasks using scripts and tooling.
Assist with deploying and monitoring AI/ML workloads.
Use AI-assisted tools to improve Log analysis and alert triage, Incident investigation and documentation, Deployment validation and testing.
Participate in on-call rotations.
Respond to and help resolve environment & CI/CD pipeline incidents.
Monitor system health using dashboards, logs, and alerts.
Contribute to post-incident reviews and follow-up actions.
Follow and contribute to established DevOps standards and practices.
Document procedures, runbooks, and operational knowledge.
Strong interest and motivation to grow technical skills.