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OMERS

Automation Support Analyst (Site Reliability Engineering)

Posted 9 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Mid level
In-Office
Toronto, ON, CAN
Mid level
Support and monitor production automations and AI-enabled workflows (UiPath, Power Platform, Copilot Studio, Azure AI Foundry). Perform incident triage, root-cause analysis, deployments, credential and access management, collaborate with infrastructure/security teams, and maintain runbooks and operational documentation.
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Choose a workplace that empowers your impact. 

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.  

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere — come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.


We are looking for a curious, solutions-oriented Automation Support Analyst to join the Data and Technology team. This role is ideal for someone who enjoys solving production issues, working with modern automation and AI platforms, and supporting solutions that are critical to helping business teams operate efficiently and reliably. You will help ensure the stability, reliability, and availability of enterprise automations and AI-enabled workflows across platforms such as UiPath, Power Platform, Copilot Studio, Azure AI Foundry, and related technologies

You will be responsible for:

  • Monitoring and supporting the stability, reliability, and availability of production automations, AI-powered workflows, copilots, and agentic solutions across UiPath, Power Platform, Copilot Studio, Azure AI Foundry, and related technologies.

  • Managing and supporting UiPath Orchestrator environments, queues, assets, schedules, robots, triggers, monitoring, and exception handling

  • Performing incident triage, troubleshooting, root cause analysis, and resolution for automation and AI-enabled workflow issues, while helping reduce recurring incidents over time.

  • Supporting production changes, deployments, upgrades, release validations, and post-release monitoring to ensure automation and workflow solutions continue to operate as expected.

  • Supporting Human-in-the-Loop processes, Action Center workflows, and exception management.

  • Assisting with AI model deployments, prompt management, and knowledge source connectivity.

  • Managing credentials, access requests, service accounts, and security-related support activities.

  • Partnering with Infrastructure, Security, Database, Application Support teams and business teams to resolve issues and maintain service reliability

  • Maintaining runbooks, support procedures, knowledge articles, and operational documentation.

Required Skills:

  • 3+ years supporting or developing enterprise automations, workflows, or AI-powered solutions.

  • Strong understanding of UiPath Orchestrator administration including queues, assets, triggers, schedules, robots, and monitoring.

  • Experience troubleshooting production automation issues.

  • Working knowledge of UiPath Document Understanding, Action Center, Apps, Integration Service, and AI Center.

  • Experience with UiPath, Power Automate, Power Apps, and Copilot Studio.

  • Familiarity with Microsoft Copilot Studio and Azure AI Foundry.

  • Strong SQL and database troubleshooting skills.

  • Knowledge of GitHub, CI/CD, Windows Server, VMs, APIs, and cloud services.

  • Experience working with ServiceNow or similar incident management platforms.

  • Strong written and verbal communication skills.

Preferred Skills & Experience

  • UiPath Professional or Advanced Developer Certification

  • Certifications in Microsoft AI, Azure AI, Copilot Studio, Power Platform or related technologies.

  • Experience supporting AI agents and GenAI-enabled solutions

We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 4 days per week. 

  

This posting is for an existing vacancy.
The expected salary range for this position is $72,000.00 - $108,000.00 per year.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.


As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.


Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.

HQ

OMERS Toronto, Ontario, CAN Office

Toronto, Canada

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