Senior DevOps Engineer - AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing enterprise AI and Data ecosystem for one of our key clients. ABOUT THE PROJECTOur client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing and industrial innovation. As investment in AI, machine learning and advanced data capabilities continues to accelerate, the organization is modernizing the engineering practices and automation required to support these workloads at enterprise scale.

The primary objective is to eliminate manual infrastructure, build and deployment processes and replace them with automated, repeatable and reliable engineering pipelines. Working closely with Platform Engineering, MLOps and other technical teams, the successful candidate will help establish modern DevOps patterns and standards while remaining highly hands-on in their implementation. Design, build and maintain CI/CD pipelines supporting cloud infrastructure, applications and AI/ML workloads.

Provide hands‑on operational support for DevOps/platform services, working within established ticketing, incident management and escalation processes to troubleshoot and resolve infrastructure, pipeline and deployment issues. Create standardized and repeatable Development, UAT and Production deployment patterns. Automate application and infrastructure testing, validation, deployment and release processes.

Integrate infrastructure and deployment automation with GitHub‑based development workflows. Partner with Platform Engineering teams to automate Azure infrastructure provisioning and deployment. Partner with MLOps engineers to automate machine learning lifecycle, deployment and operational processes.





Build self‑service capabilities that enable development, data science and machine learning teams to deploy and consume technology with minimal manual intervention. Improve deployment speed, consistency, repeatability, reliability and overall developer experience. Implement appropriate security, governance and operational controls within automated engineering processes.

Help establish modern SDLC, DevOps, source control, deployment and engineering standards. Provide technical leadership and recommendations while remaining directly involved in engineering, coding, configuration and implementation. Extensive senior‑level (10+ years) DevOps engineering experience within complex enterprise environments.

Strong hands‑on experience with Microsoft Azure.

Experience operating within enterprise support models, including ticket queues, incident management, troubleshooting, escalation procedures and coordination across technical support teams. Strong experience designing, building and maintaining enterprise CI/CD pipelines. Strong understanding of modern SDLC, source control, release management and deployment practices.

Experience developing reusable automation, engineering templates, deployment patterns and tooling.

Experience integrating infrastructure automation with application development and deployment workflows. Ability to operate effectively as both a senior technical advisor and hands‑on engineer.



Strong communication and collaboration skills with the ability to work across DevOps, Platform Engineering, MLOps, cloud, security, data and application engineering teams.

Experience supporting infrastructure and deployment processes for AI and machine learning workloads.

Experience with Azure Machine Learning and related Azure AI/data services.

Experience working with MLOps engineering practices and machine learning deployment pipelines.

Robust

Python development or scripting experience.

Experience with Platform Engineering and internal developer platforms.

Experience creating self‑service engineering and deployment capabilities.

Experience helping establish DevOps capabilities, standards and practices within an immature or evolving engineering environment. ABOUT THE ROLEThis is a contract opportunity supporting a strategic enterprise AI, Data and Cloud engineering initiative.This is a senior, highly hands‑on engineering role. The successful candidate will help define DevOps architecture, standards and engineering patterns while personally building and implementing the pipelines, automation and tooling required to put those standards into practice.

We are looking for an engineer who naturally approaches manual infrastructure and deployment processes as opportunities for automation and who is equally comfortable defining the solution and sitting down to build it. AI DISCLOSUREAs part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching and recruitment administration. We provide the highest‑caliber consulting solutions to a diverse client base across all levels of government and private industry.

📌 Senior Devops Engineer - Ai & Data Platform (Winnipeg)
🏢 Systematix
📍 Winnipeg