DevOps Engineer maintaining and evolving deployment pipelines for Docebo’s AI - powered learning platform. Collaborating with cross - functional teams to ensure efficient software releases and infrastructure management.
About the role
- DevOps Engineer responsible for designing and automating production and development infrastructure in a hybrid tech environment. Collaborating in a multicultural team to enhance service availability and efficiency.
Responsibilities
- Participation in the design, building, testing, and automating of the production and development infrastructure
- Ensuring continuous availability of various services and tools
- Writing specifications and documentation
- CI/CD management and automation
- Maintenance of pipelines to Build, Test, Release, Deploy at any moment and in any circumstances
- Working with automation services and platforms
- Scripting and coding
- Helping develop strategies to improve the availability and use of web application server
- Infrastructure management
- Monitoring
Requirements
- 3+ years experience with Kubernetes and other container management solutions
- Excellent understanding of microservices architecture
- At least 2 years of operational experience with public clouds (AWS, GCP or other), migrations, scaling operations etc.
- In-depth knowledge of AWS services including ALB, VPC, IAM, EC2, EKS, CloudWatch, S3, RDS, Route53.
- Experience in similar services for GCP is a plus
- Experience with load balancers and Ingress controllers such as Ngnix, HAProxy, ALB, NLB
- Experience with Infrastructure as Code (Terraform, Ansible)
- 3+ years of Linux/UNIX administration experience
- In depth understanding of Linux/UNIX fundamentals, including kernel subsystems, system calls, inter-process communication, process/resource management and file systems
- Configuration management with deployment automation tools
- Experience at least with two or three of monitoring services: DataDog, Newrelic, Prometheus and Grafana, CloudWatch, OpsGenie or similar
- Must be proficient in at least one scripting language
- AWS Cloud Architect and/or Certified Kubernetes Administrator (CKA) certifications is a plus
- Resourcefulness and problem-solving aptitude
- Strong written and verbal communication skills
- Demonstrated problem analysis and resolution skills
Benefits
- Hybrid work
- Meal allowance
- Extra paid leave (25 days per annum)
- Health and dental insurance
- Wellness benefits reimbursement after the probation period
- Transport allowance
- Birthday and Company Anniversary benefits according to the Company's Policy
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
DevOps Engineer optimizing CI/CD pipelines for Docebo, an AI - powered learning platform. Involves managing multi - tenant infrastructure using AWS, Docker, and Kubernetes.
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