Senior Azure DevOps​/AI Platform DevOps

Position: Senior Azure DevOps / AI Platform DevOps
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.

Introduction
Robertson is seeking a skilled Senior Azure Dev Ops / AI Platform Dev Ops to join our client in support of an existing vacancy.

Contract Period
12 months with potential to extend or convert

Pay Rate:
Starting from $76 per hour

Location:

Ottawa, ON

Location Type:
Hybrid

Business

Hours:

Monday-Friday, Core business hours

Job Responsibilities

Implement and optimize Dev Ops practices within an Azure cloud environment, ensuring security, scalability, resilience, and reliability

Design, build, and maintain robust Git Lab CI/CD pipelines to accelerate software delivery, infrastructure automation, and production deployment

Support the deployment and operation of containerized workloads using Kubernetes and/or Open Shift, applying platform engineering and operational best practices

Contribute to the design and delivery of AI/Agentic AI Dev Ops capabilities, enabling secure, production-ready deployment of AI workloads and supporting associated infrastructure and controls

Drive automation for infrastructure provisioning, configuration, and deployment using Infrastructure as Code principles and repeatable engineering practices

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

Support release planning, deployment scheduling, and operational readiness for cloud-hosted and AI-enabled applications

Provide technical guidance and recommendations to engineering teams based on operational analysis, observability data, and platform monitoring insights

Ensure solutions align with enterprise requirements for security, authentication, access control, governance, and integration with corporate systems

Stay current with emerging Dev Ops, Azure, Kubernetes, and AI platform technologies, sharing knowledge and mentoring team members where appropriate

Proven experience deploying, managing, and optimizing applications and platforms in Microsoft Azure

Strong hands-on experience with Kubernetes, including cluster operations, workload deployment, and platform best practices

Strong understanding of networking and security, particularly in cloud and containerized environments

Demonstrated success designing and maintaining Git Lab CI/CD pipelines for enterprise-scale applications and services

Strong scripting and automation capability using Python, with Bash or similar scripting also desirable

Experience integrating solutions with enterprise systems, including identity, authentication, and access management components

Strong troubleshooting skills with a proactive approach to reliability, operational support, and continuous improvement

Ability to communicate effectively with both technical and non-technical stakeholders

Desirable experience supporting AI/ML or Agentic AI workloads in production

Experience & Qualification Requirements

Minimum 5 years of relevant experience in Dev Ops or Cloud Engineering roles

Significant expertise in Microsoft Azure cloud services and deployments

Must have expertise in AI workflow (experience supporting AI/ML or Agentic AI workloads in production)

A proven track record of building and supporting CI/CD pipelines within enterprise environments

Strong scripting and automation skills, with a specific focus on Python

Hands-on coding experience with Terr grunt and Terraform

Experience integrating automated testing into the deployment lifecycle

Experience implementing and managing comprehensive Dev Ops processes and best practices

value diversity and are committed to creating an inclusive workplace.

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.

We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.