Intermediate AI-Enabled DevOps Engineer
- Point Click Care
- Remote USA
Job Description
Position Summary:
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.
Who you’ll work with:
You will be part of our growing team of top engineers with the ability to directly impact the success of the organization. You'll be a part of the DevOps team reporting to the DevOps Team Lead and working alongside our other DevOps Engineers. You'll work day to day with the Software Engineering team as well as our IT team.
What you'll be doing day to day:
Infrastructure & Platform Support:
- 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.
- 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.
Automation & AI Exposure:
- 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.
Reliability & Operations:
- 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.
Collaboration & Learning:
- Follow and contribute to established DevOps standards and practices.
- Document procedures, runbooks, and operational knowledge.
- Strong interest and motivation to grow technical skills.
What you'll bring:
Solid Technincal Foundation:
- 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.
- 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.
Growth Mindset:
- 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.
Skills and experience we’re looking for:
Must-haves
- 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)
- Infrastructure as Code (Terraform, IaC 2.0, or similar)
- CI/CD pipelines
- Containers (Docker) and Kubernetes concepts
- Monitoring, logging, and alerting tools.
- 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)
- Infrastructure as Code (Terraform, IaC 2.0, or similar)
- CI/CD pipelines
- Containers (Docker) and Kubernetes concepts
- Monitoring, logging, and alerting tools.
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.
Education
- Bachelor's degree in Computer Science, Computer Engineering, or related technical field
- Advanced certifications (AWS/GCP/Azure professional-level, CKA, CKS, CISSP) are highly valued
- Demonstrated commitment to continuous learning
- 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.
Education
- Bachelor's degree in Computer Science, Computer Engineering, or related technical field
- Advanced certifications (AWS/GCP/Azure professional-level, CKA, CKS, CISSP) are highly valued
- Demonstrated commitment to continuous learning
How we work:
We're transparent—working in the open as one team using OKRs, cross-functional retrospectives, and public roadmaps. We confront problems courageously with blameless root cause analyses, not blame. We're data-driven, using metrics and APM to make evidence-based decisions. We learn continuously from our mistakes through retrospectives and RCAs. We're accountable for outcomes, not just activities, aligning our work to customer and business results. We experiment with strong opinions, loosely held, testing concepts and feasibility before committing. We think big, act small, and move fast—using Scrum, delivery plans, and frequent milestones. We're inclusive, creating space to listen and learn, growing an Ally Community to support equity and career growth.
We're transparent—working in the open as one team using OKRs, cross-functional retrospectives, and public roadmaps. We confront problems courageously with blameless root cause analyses, not blame. We're data-driven, using metrics and APM to make evidence-based decisions. We learn continuously from our mistakes through retrospectives and RCAs. We're accountable for outcomes, not just activities, aligning our work to customer and business results. We experiment with strong opinions, loosely held, testing concepts and feasibility before committing. We think big, act small, and move fast—using Scrum, delivery plans, and frequent milestones. We're inclusive, creating space to listen and learn, growing an Ally Community to support equity and career growth.
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