DevOps Engineer

TEEMA Solutions Group; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in the SaaS sector is seeking a DevOps Engineer to optimize Azure infrastructure and enhance CI/CD practices. This role offers the opportunity to work in a collaborative environment, significantly impacting software delivery and operations. Ideal candidates will have strong skills in automation, security best practices, and hands-on experience with cloud technologies. Join a dynamic team where innovation and efficiency are prioritized, particularly in cloud-native environments.

Qualifications

• Proven experience with Azure-based infrastructure optimization.
• Hands-on with CI/CD pipeline creation and deployment tooling.
• Strong understanding of cloud architecture and operational challenges.

Responsibilities

• Architect and optimize Azure infrastructure for scalability.
• Drive automation for deployment consistency and efficiency.
• Champion DevSecOps principles and lead incident response.

Skills

Cloud Infrastructure Management

CI/CD practices

Strong scripting skills

Security best practices

Automation frameworks

Containerization

Networking fundamentals

Excellent communication

Tools

Azure

Terraform

Kubernetes

Docker

GitLab CI

Azure DevOps

PowerShell

Bash

Job description

As a DevOps Engineer, you’ll help shape the backbone of our cloud-native SaaS platform. From scaling Azure infrastructure to improving CI / CD pipelines, your work will make it faster, safer, and easier for our teams to deliver great software. You’ll be part of a collaborative, forward-thinking environment where automation, security, and reliability are top priorities, and where your ideas will have a direct impact. Reporting to the CIO, you'll play a key role in how we grow and scale. This role will be based in UK or Vancouver Canada depending on candidate location.

What you’ll be doing

Cloud Infrastructure & Scalability

Architect, modernize, and optimize our Azure-based infrastructure to support platform growth, resilience, and scalability.

Ensure high availability and performance across cloud environments (primarily Azure, with some exposure to GCP) and shared services.

Monitor and analyze system health, usage patterns, and cost metrics to ensure reliable operations and cost-effective scaling.

Manage disaster recovery readiness, including backup procedures, failover testing, and incident preparedness.

Automation & Delivery Enablement

Drive infrastructure automation and standardization to improve consistency, repeatability, and deployment efficiency across environments.

Continuously assess and enhance CI / CD pipelines, deployment tooling, and delivery workflows to enable fast and safe software releases.

Develop internal platform capabilities and self-service tools that empower engineering teams to ship code reliably.

Security, Reliability & Incident Response

Champion a DevSecOps mindset, embedding security best practices into infrastructure and deployment lifecycles.

Lead and contribute to incident response efforts, including real-time resolution, root cause analysis, and post-incident reviews.

Implement strategies for operational excellence, proactively identifying and resolving performance and stability bottlenecks.

Work closely with software engineers, product teams, and platform stakeholders to align infrastructure initiatives with business and technical goals.

Document architecture and operational processes clearly to promote knowledge sharing and reliable team operations.

Participate in a rotating support schedule, including providing coverage during European time zones and handling emergency responses as needed.

Job requirements

What you’ll bring

Proven experience building and evolving internal platform capabilities—including CI / CD pipelines, deployment tooling, and automation frameworks—that empower engineering teams to deliver software reliably and efficiently.

Hands-on experience with the Azure ecosystem, including deep familiarity with resource provisioning, monitoring, performance tuning, and cost optimization strategies.

Strong scripting and automation skills using tools like PowerShell, Bash, or other languages relevant to cloud operations.

Experience or knowledge in SQL database administration, particularly around backup / recovery strategies and high availability configurations (MySQL and PostgreSQL preferred).

Strong understanding of cloud infrastructure architecture, distributed systems, and the operational challenges of supporting SaaS platforms at scale.

Demonstrated application of security best practices and DevSecOps principles across infrastructure and deployment lifecycles.

Experience applying modern AI tools to enhance observability, operational workflows, or support processes—paired with a solid understanding of their capabilities and limitations.

Deep understanding of containerization, orchestration, and virtualization technologies, including Kubernetes, Docker, and related tools.

Proficiency with CI / CD tools and workflows (preferably GitLab CI or Azure DevOps), and familiarity with release orchestration and environment management.

Experience with Infrastructure-as-Code practices and tooling (preferably Terraform), and strong infrastructure lifecycle management skills.

Familiarity with modern cloud service architectures such as web apps, microservices, API gateways, and service meshes.

Solid knowledge of networking fundamentals, including DNS, load balancing, VPNs, firewalls, and reverse proxies (NGINX preferred).

Master-level organization and documentation practices that support reliable operations and knowledge sharing across teams.

Excellent communication and collaboration skills; proven ability to work effectively with cross-functional engineering and product teams.

What makes you stand out

Experience with GCP or multi-cloud environments.

Exposure to GitOps workflows and tools like ArgoCD or Kustomize.

Knowledge of .NET applications in cloud settings.

Familiarity with observability stacks (e.g., Grafana, ELK, Prometheus).

Understanding of compliance frameworks like SOC 2 or ISO 27001.

Use of AI tools for enhancing operational efficiency.

Experience with SIEM integration and incident response tooling.

Comfort with remote collaboration and working across time zones.

Familiarity with SLOs, SLIs, error budgets, and operational KPIs.