DevOps/MLOps Engineer
📍 Remote within Canada | 🕐 Full-Time
💰 Base Salary: $120K–$150K CAD
About Thrive
Thrive Career Wellness Platform is a mission-driven SaaS company helping people take control of their career journeys. We support individuals through meaningful career transitions and empower organizations with tools to deliver impactful outplacement and career wellness services. Our platform is used by public and private sector organizations across Canada and beyond.
About the Role
We’re looking for a skilled DevOps/MLOps Engineer to manage and optimize our AWS cloud infrastructure while supporting the operationalization of machine learning workflows. You’ll play a key role in building scalable systems that drive performance, security, and efficiency—both for our platform and the data-driven features that power it.
What You’ll Be Doing
- Cloud Infrastructure Management: Design, implement, and maintain secure, scalable AWS solutions.
- CI/CD & Automation: Build and maintain pipelines for infrastructure provisioning and application deployment.
- Monitoring & Optimization: Ensure performance and cost-effectiveness through monitoring tools and reporting.
- Security: Apply cloud security best practices including IAM, encryption, and secure networking.
- ML Ops Enablement: Work closely with AI teams to deploy machine learning models into production.
- Containerization: Leverage Docker and Kubernetes for container orchestration.
- Cross-Team Collaboration: Partner with developers, data engineers, and stakeholders to support scalable delivery.
- Documentation: Keep internal documentation updated and accessible for scaling and onboarding.
What You’ll Bring
- 3+ years in DevOps or a similar role, ideally with ML Ops experience.
- Strong AWS knowledge (EC2, S3, EKS, SageMaker, etc.).
- Proficiency in IaC tools (Terraform or CloudFormation).
- Experience with CI/CD tools like GitHub Actions or GitLab CI/CD.
- Familiarity with Docker, Kubernetes, and scripting languages (Python, Bash).
- Knowledge of ML Ops tools (SageMaker, MLflow, Kubeflow).
- Experience with monitoring tools (CloudWatch, Prometheus, Grafana).
- Clear, collaborative communication style.
Nice-to-Haves
- Experience with Databricks or managing data engineering workflows.
- Knowledge of serverless architecture and event-driven design.
- Familiarity with cloud cost optimization tools.
- Security compliance knowledge (e.g., SOC 2, ISO 27001).
- Experience working with Ruby on Rails environments.
Why Thrive
At Thrive, we value diversity, autonomy, and collaboration. We’re proud to be an Equal Opportunity Employer and are committed to providing accommodations throughout the hiring process. Applicants must be legally entitled to work in Canada.
Ready to Make an Impact?
Apply now and join a team that’s reshaping the future of career wellness.