Own and scale cloud infrastructure for high-throughput production systems, shaping AWS and data strategies while leading infrastructure projects from planning through deployment and ongoing operations.
Intermediate AI-Enabled DevOps Engineer
📜 Description
- Design and operate cloud-native infrastructure for production workloads.
- Build CI/CD pipelines and infrastructure-as-code for applications and ML systems.
- Improve deployment reliability through automation, testing, and rollout strategies.
- Support AI/ML model deployment, scaling, and monitoring; integrate AI-assisted tools into DevOps workflows.
- Maintain observability solutions using metrics, logs, and traces; participate in on-call and lead complex incident response.
- Partner with application, platform, and data teams; provide technical guidance, review code, and document standards and runbooks.
🛠️ Requirements
- 3-5 years of experience designing and implementing large-scale automated infrastructure and CI/CD pipelines.
- Strong experience with AWS, GCP, or Azure and cloud-native architectures and microservices.
- Hands-on experience with Infrastructure as Code, containers, Kubernetes, and CI/CD systems such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
- Knowledge of CI/CD best practices, GitOps workflows, and blue/green or canary deployment strategies.
- Proficiency in Python, Bash, Go, or similar scripting or programming languages.
- Experience with monitoring, logging, and alerting tools; exposure to AI/ML workloads.
- Understanding of distributed systems, networking, security, and high-availability architectures.
- Strong problem-solving and communication skills; willingness to mentor teammates and collaborate across functions.
✨ Benefits
- Benefits starting from Day 1
- Retirement plan matching
- Flexible paid time off
- Wellness support programs and resources
- Parental and caregiver leaves
- Fertility and adoption support
- Continuous development support program
- Employee assistance program
Full job description
PointClickCare builds cloud platforms that power safer, more connected care for millions of patients. As an Intermediate DevOps Engineer, you will design, build, and operate scalable cloud infrastructure and developer platforms that support both application and AI-driven workloads. You are a strong individual contributor who owns complex systems end-to-end, improves reliability and automation, and partners closely with software and data teams to bring services and models into production. You balance delivery and quality, applying DevOps and SRE best practices to improve developer velocity, system reliability, and operational insight.
- 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.
- Participate in on-call rotations
- Ability to own systems from design through production support. Design and setup end to end CI/CD Pipelines.
- Practical understanding of distributed systems and cloud infrastructure.
- Bias toward automation, observability, and operational excellence.
- Growth-Oriented Leadership
- Willingness to mentor and support teammates.
- Comfort collaborating across functions and advocating for better practices.
- Ability to communicate trade-offs clearly and constructively.
- Strong knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog).
- Solid understanding of networking, security principles, and high-availability architectures.
- Strong problem-solving skills and ability to work in complex, distributed environments.
- 3-5 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.
- Exposure to AI/ML workloads.
Nice-to-haves
-Experience 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.
Education
- Advanced certifications: AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, Certified Kubernetes Administrator (CKA)
- Experience with security automation and DevSecOps practices.
Similar jobs
Search more DevOps Engineer jobsOwn and evolve cloud infrastructure end to end, building reliable IaC and CI/CD systems, enabling zero-downtime deployments, and improving security, observability, and scalability across distributed services.
The DevOps Engineer improves production infrastructure and developer workflows by advancing CI/CD, Kubernetes platforms, Terraform modules, and automation in close collaboration with R&D teams.
Implement and maintain secure Azure infrastructure, CI/CD pipelines, and deployment automation for federal spectrum systems, supporting cloud operations, security controls, and reliable releases across multiple environments.
Implement and maintain secure Azure infrastructure and CI/CD pipelines for federal spectrum systems, supporting deployments, automation, security compliance, monitoring, and reliable operations across cloud environments.
