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DevOps Engineer at AltaML | JobVerse
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DevOps Engineer
AltaML
Website
LinkedIn
DevOps Engineer
Canada
Full Time
1 week ago
No Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
Terraform
Bash
PowerShell
AI
Machine Learning
ML
GCP
Google Cloud
GitHub Actions
GitLab CI
Pulumi
EKS
AKS
GKE
Helm
CloudFormation
IAM
CloudWatch
Azure DevOps
Azure Monitor
Datadog
GitHub
GitLab
Agile
CI/CD
Collaboration
Cloud Security
About this role
Role Overview
Design, build, and maintain CI/CD pipelines that support continuous delivery across multiple cloud platforms (Azure DevOps, GitHub Actions, GitLab CI)
Architect and manage cloud infrastructure across Azure, AWS, and GCP using Infrastructure as Code (Terraform, Bicep, CloudFormation)
Manage containerized application workloads using Kubernetes (AKS, EKS, or GKE) and Docker
Implement and maintain cloud security best practices: IAM policies, network segmentation, secrets management, vulnerability scanning
Design and maintain observability stacks — logging, metrics, alerting — using tools such as Azure Monitor, CloudWatch, Datadog, or Grafana/Prometheus
Collaborate with software and ML engineering teams to define deployment strategies, optimize release pipelines, and reduce deployment risk
Evaluate and introduce tooling improvements that enhance reliability, scalability, and developer productivity
Contribute to incident response and post-mortem processes, driving root cause analysis and corrective actions
Build and maintain internal documentation on infrastructure architecture, operational runbooks, and DR procedures
Mentor junior team members and provide technical guidance on cloud and DevOps best practices
Requirements
Degree or equivalent work experience in Computer Science, Systems Engineering, or a related discipline
3–6 years of progressive DevOps, cloud engineering, or site reliability engineering experience
Strong hands-on experience with at least two of: Azure, AWS, GCP — multi-cloud exposure is highly valued
Proven experience building and maintaining CI/CD pipelines in production environments
Proficiency with Infrastructure as Code: Terraform required; Bicep, Pulumi, or CDK are a plus
Solid Kubernetes experience: cluster management, Helm charts, workload scaling, networking
Scripting fluency in Python, Bash, or PowerShell for automation and tooling
Experience implementing cloud security controls: IAM, RBAC, network policies, key management
Understanding of software delivery lifecycle and agile development practices
Strong troubleshooting ability across networking, compute, storage, and application layers
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
Terraform
Benefits
Uncapped Vacation
For all full time, permanent employees. Seriously, take the time you need
when you need it.
Make an Impact
Witness the impact your work contribution has on the success of our company.
Working with PhD and Master Level Colleagues
Endless conversations around the latest in Machine Learning and Applied AI.
Competitive Benefits
For all full time, permanent employees.
Office as a Resource
Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
Big Slack Energy
IYKYK.
Apply Now
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