Position: DevOps Engineer

Location: Canada (Remote)

Type of Employment: Full-Time

Compensation: CAD 130K+

Purpose of the Position: As a Lead DevOps Engineer, you will refine and enhance CI/CD processes, integrate new capabilities into release pipelines, and drive automation across the software delivery lifecycle. You will also play a key role in embedding AI-driven practices into DevOps, enabling faster and more reliable delivery of data and AI products. You will work closely with data engineers, platform teams, and product teams to ensure seamless, scalable, and intelligent deployment processes across the Data Platform.

Key Result Areas and Activities:

- Define and drive DevOps, Platform Engineering, and AI-enabled delivery strategy.
- Build and optimize CI/CD pipelines with AI-powered automation, quality checks, and self-healing capabilities.
- Develop scalable automation frameworks using IaC, AI agents, and orchestration tools.
- Integrate and support Data & AI platforms including Databricks, Airflow, Azure, and Power BI.
- Enable MLOps/LLMOps and end-to-end AI application lifecycle management.
- Ensure governance, security, compliance, reliability, and observability across platforms.
- Improve developer experience through self-service tools, documentation, and intelligent automation.
- Provide operational support, troubleshooting, and AI-assisted incident resolution.
- Establish DevOps best practices, standards, and reusable frameworks across teams.

Essential Skills:

- Strong experience with Azure DevOps, GitHub Actions, and CI/CD pipeline automation.
- Expertise in Infrastructure as Code (Bicep, ARM, Terraform or similar).
- Proficiency in PowerShell, Python, and Bash scripting.
- Hands-on experience with Azure cloud services and cloud-native architectures.
- Strong knowledge of DevOps practices, Git workflows, release management, and automation frameworks.
- Experience with Databricks, Airflow, ADF, SQL, and enterprise data platforms.
- Understanding of governance,



security, compliance, access control, and observability.

Desirable Skills:

- Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, code assistants).
- Knowledge of MLOps, LLMOps, and AI workload deployment patterns.
- Familiarity with AIOps, intelligent monitoring, and incident management.
- Experience integrating AI services, APIs, and automation agents into DevOps workflows.
- Exposure to enterprise-scale platform engineering environments.
- Azure DevOps Engineer certification or equivalent.
- Experience with agent-based automation and orchestration frameworks.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- Proven experience in DevOps, Platform Engineering, Cloud Engineering, or SRE roles.
- Experience supporting enterprise data and AI platforms.
- Strong problem-solving, troubleshooting, and analytical skills.
- Ability to collaborate effectively with technical and business stakeholders.
- Excellent communication and documentation skills.

Qualities:

- Ability to develop and execute go-to-market strategies for new logo acquisition.
- Strong market intelligence and ability to identify emerging trends in Data & AI.
- Expertise in consultative selling, uncovering business pain points, and aligning solutions to client outcomes.
- Ability to translate complex Data & AI concepts into business value propositions.
- Self-driven, proactive, and goal-oriented with a passion for opening current doors.
- Demonstrated success in closing multi-million-dollar deals and exceeding revenue targets.
- High integrity and commitment to building trust-based relationships.
- Strong adherence to ethical sales practices.

"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

📌 DevOps Engineer (North Vancouver)
🏢 –
📍 North Vancouver