Manager of Site Reliability Engineering at Docebo, overseeing platform health and leading engineering teams. Focus on operational efficiency and incident management for reliable SaaS delivery.
About the role
- DevOps Engineer at Knotch focusing on building and scaling infrastructure for AI-driven marketing technology. Collaborate across teams to enhance reliability and performance.
Responsibilities
- Design, build, and maintain scalable, secure, and highly available infrastructure across pre-production and production environments
- Develop and manage CI/CD pipelines to enable fast, reliable, and repeatable deployments across multiple environments
- Own infrastructure as code (IaC) practices using tools like Terraform to ensure consistency and reproducibility
- Manage environment lifecycle (development, staging, production), including promotion workflows and configuration management
- Partner closely with Engineering, Data, and AI teams to support system performance, reliability, and scalability
- Implement and maintain monitoring, logging, and alerting systems to ensure high visibility into system health and performance
- Optimize infrastructure for cost, performance, and reliability, especially for compute- and data-intensive AI workloads
- Support Kubernetes-based deployments and container orchestration for distributed systems
- Contribute to security best practices across infrastructure, including IAM, networking, and application-level protections
- Create dashboards and reporting systems to provide visibility into system performance, uptime, and operational metrics
- Document architecture, operational processes, and infrastructure decisions to support knowledge sharing and onboarding
- Act as a DevOps/SRE partner across teams, helping troubleshoot issues and improve system reliability
Requirements
- 5+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering roles within SaaS, PaaS, or cloud-native environments
- Prior experience in growth-stage and/or startup environment scaling from $10M to $20M+ ARR with a lean team
- Strong experience with Google Cloud Provider (GCP), including IAM, networking, and data services
- Hands-on experience with Infrastructure as Code tools such as Terraform
- Experience building and maintaining CI/CD pipelines (GitHub Actions, ArgoCD, or similar)
- Solid experience with Kubernetes, Docker, and containerized environments
- Familiarity with deployment tools such as Helm
- Experience with monitoring and observability tools like Prometheus and Grafana
- Strong understanding of system reliability, scalability, and performance optimization
- Ability to work across multiple systems and priorities in a dynamic environment
- Strong documentation and communication skills, with attention to clarity and detail
- Supplementary experience supporting AI/ML or data-intensive workloads in production environments (Nice-to-Have)
- Familiarity with workflow orchestration or data pipeline tools (Nice-to-Have)
- Experience with cost optimization strategies for cloud infrastructure (Nice-to-Have)
- Exposure to security frameworks and compliance best practices (Nice-to-Have)
- Experience working with distributed or globally deployed systems (Nice-to-Have)
Benefits
- Comprehensive medical, dental, and vision insurance eligibility
- 401(k) plan
- Unlimited PTO
- 10+ company-paid holidays
- A daily company-wide break, and more!
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