Senior Azure DevOps / AI Platform DevOps Specialist
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Location: Ottawa, Ontario (Hybrid 3 days in office, 2 days work from home)
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Pay Rate: $89.28/hr
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Contract Length: 12 months
We at Raise are hiring a Senior Azure DevOps / AI Platform DevOps Specialist for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.
Responsibilities:
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Implement and optimize DevOps practices within an Azure cloud environment, ensuring security, scalability, resilience, and reliability.
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Design, build, and maintain robust GitLab CI/CD pipelines to accelerate software delivery, infrastructure automation, and production deployment.
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Support the deployment and operation of containerized workloads using Kubernetes and/or OpenShift, applying platform engineering and operational best practices.
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Contribute to the design and delivery of AI/Agentic AI DevOps capabilities, enabling secure, production-ready deployment of AI workloads and supporting associated infrastructure and controls.
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Drive automation for infrastructure provisioning, configuration, and deployment using Infrastructure as Code principles and repeatable engineering practices.
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Collaborate closely with development, operations, security, and enterprise platform teams to troubleshoot and resolve complex live performance, stability, and integration issues, while implementing preventative improvements.
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Support release planning, deployment scheduling, and operational readiness for cloud-hosted and AI-enabled applications.
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Provide technical guidance and recommendations to engineering teams based on operational analysis, observability data, and platform monitoring insights.
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Ensure solutions align with enterprise requirements for security, authentication, access control, governance, and integration with corporate systems.
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Stay current with emerging DevOps, Azure, Kubernetes, and AI platform technologies, sharing knowledge and mentoring team members where appropriate.
Key Requirements
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Proven experience deploying, managing, and optimizing applications and platforms in Microsoft Azure.
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Strong hands-on experience with Kubernetes, including cluster operations, workload deployment, and platform best practices.
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Strong understanding of networking and security, particularly in cloud and containerized environments.
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Demonstrated success designing and maintaining GitLab CI/CD pipelines for enterprise-scale applications and services.
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Strong scripting and automation capability using Python, with Bash or similar scripting also desirable.
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Experience integrating solutions with enterprise systems, including identity, authentication, and access management components.
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Strong troubleshooting skills with a proactive approach to reliability, operational support, and continuous improvement.
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Ability to communicate effectively with both technical and non-technical stakeholders.
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Desirable experience supporting AI/ML or Agentic AI workloads in production.
Desirable Skills
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Experience implementing data governance and control frameworks.
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Experience using HashiCorp Vault for secrets management.
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Experience using and securing S3-compatible object storage, such as MinIO.
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Experience creating and optimizing production-grade GitLab CI/CD workflows.
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Strong experience in Kubernetes cluster administration and operational best practices.
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Expert knowledge of Kubernetes deployments using Helm.
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Experience with NVIDIA GPU Operator and GPU features such as time-slicing and MIG slicing.
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Experience with LDAP and SSO authentication flows.
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Experience building and securing Docker images.
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Strong scripting capability in Bash and Python.
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Experience implementing RBAC controls, particularly in environments handling sensitive data.
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Experience implementing security and compliance tooling, including vulnerability scanning and SAST.
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Experience using tools such as Prometheus and Grafana for monitoring, observability, and audit support.
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Experience designing and implementing highly available systems.
Must-Have Requirements:
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Experience: Minimum 5 years of relevant experience in DevOps or Cloud Engineering roles.
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Azure Expertise: Significant expertise in Microsoft Azure cloud services and deployments.
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Must have expertise in AI workflow ( experience supporting AI/ML or Agentic AI workloads in production)
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CI/CD: A proven track record of building and supporting CI/CD pipelines within enterprise environments.
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Automation: Strong scripting and automation skills, with a specific focus on Python.
Nice-to-Have Skills:
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Infrastructure as Code (IaC): Hands-on coding experience with Terragrunt and Terraform.
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Testing: Experience integrating automated testing into the deployment lifecycle.
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Process Management: Experience implementing and managing comprehensive DevOps processes and best practices.
Looking for meaningful work? We can help!
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or [email protected]
Accessibility & Accommodations - Raise - find a more meaningful working experience
We value inclusivity and equity in the job application process, and want it to be easy to request accommodations for people with disabilities.
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