Montreal, QC
DevOps engineers who keep AI products shipping. Crosscheck recruits AI Infrastructure & Platform Engineering candidates for contract, contract-to-hire, and permanent roles tied to Montreal.
What We Place
Representative roles
Platforms and technologies
Our Approach
This editorial hiring guide starts with sourced Montreal business context. Montreal's 2030 Economic Plan separates digital intelligence and creativity, life sciences, and advanced manufacturing and materials. The plan also connects aerospace and clean technology with the city's manufacturing strategy. A DevOps Engineer search should define the release process, cloud or data-center scope, infrastructure ownership, and incident duties. The title often hides whether the team needs pipeline development, site reliability, cloud migration, or application support.
Source DevOps engineers with AI/ML infrastructure and cloud-native experience
Vet on real CI/CD pipeline design, IaC, and production incident response
72-hour shortlist delivery for immediate interviews
Permanent placements include a 90-day replacement guarantee, subject to the signed agreement.
Start the search
Include the business context, systems, delivery phase, work model, compensation, and interview timeline. A Crosscheck search lead will use that context to calibrate the role before sourcing begins.
Local Market Brief
Describe the current delivery path and the failure the new hire must address. Include source control, build systems, environment provisioning, security checks, deployment methods, observability, and on-call expectations that belong to the role. The three sourced Montreal contexts below turn that scope into intake and screening decisions. They do not measure current vacancies, candidate supply, or Crosscheck client activity.
Editorial market scenario
Ask candidates to show how they moved technical work into a maintained system. Record the handoff, monitoring, documentation, and operating constraints. This is planning guidance, not measured local demand.
Editorial industry scenario
A research-facing brief should separate experimental work from ownership of maintained systems, users, documentation, and deadlines. Confirm that this context applies to the employer before using it in the search.
Screening focus
Candidates are assessed on automation, observability, security, incident response, and the operating scale they have supported.
Published Canadian regional profile
These values describe the Montréal census metropolitan area in the 2021 Census. They are dated regional context, not a current count of Montreal-area technology candidates, vacancies, clients, or Crosscheck placements.
Statistics Canada 2021 Census Profile, released December 15, 2022. Geography ID 2021S0503462.
Natural and applied sciences and related occupations
217,730; 9.4%
Statistics Canada's 2021 Census Profile reports 217,730 and a 9.4% published rate for natural and applied sciences and related occupations in the Montréal census metropolitan area. This broad occupational group includes many jobs outside the specialty on this page and does not measure candidate availability.
Mathematics, computer and information sciences
115,005; 3.3%
Statistics Canada's 2021 Census Profile reports 115,005 and a 3.3% published rate for mathematics, computer and information sciences in the Montréal census metropolitan area. This is a field-of-study characteristic, not a current count of people working in a matching occupation.
Worked at home
545,855; 25.8%
Statistics Canada's 2021 Census Profile reports 545,855 and a 25.8% published rate for worked at home in the Montréal census metropolitan area. This 2021 reference-period measure is historical context, not a current remote-work forecast.
Hiring brief scenarios
These scenarios connect location context to role responsibilities. Use them as prompts to verify with the employer, not as measures of Montreal demand, clients, or candidate supply.
Sourced digital intelligence and creativity context
Montreal's 2030 Economic Plan identifies artificial intelligence and data science, cybersecurity, digital creativity, and virtualization as strategic digital niches. Connect the operating context to release risk. Ask how the engineer would design tests, approvals, and deployment stages for systems with the stated data and availability constraints. Digital work can combine models, source data, identity, cloud services, media assets, rights, user analytics, releases, threat response, and production support.
Evidence to request: Review a pipeline change with test gates, artifact handling, deployment strategy, and measured effect on release safety. Define the user and product, model or service boundary, data rights, identity controls, evaluation or release method, threat response, operating target, and approval owner.
Sourced life sciences context
The Montreal plan names life sciences as a recognized key sector and includes biomedical work in its advanced manufacturing and materials priorities. Set the infrastructure-as-code boundary across accounts, networks, compute, identity, and managed services. Require a plan for state, review, drift, and recovery. Life-sciences delivery may span experiments, laboratories, clinical records, devices, quality systems, regulated manufacturing, protected data, and commercial operations.
Evidence to request: Use an infrastructure pull request or redacted module design to assess structure, secrets handling, state, and rollback. Name the research or product stage, regulated boundary, source record, validation protocol, device or laboratory interface, access controls, release authority, and reviewer.
Sourced advanced manufacturing, aerospace, and clean technology context
Montreal's economic plan identifies advanced manufacturing and materials, aerospace, aviation, clean technology, energy, construction, and transportation among its strategic sectors and niches. Define incident responsibility before hiring. Candidates should show how they used logs, metrics, traces, and change history to restore service and prevent recurrence. These programs can join engineering changes, materials, plants, assets, suppliers, quality, maintenance, energy measures, emissions, transport, contracts, and financial records.
Evidence to request: Ask for an incident timeline that names the signal, mitigation, contributing change, follow-up owner, and verification step. Set the product and facility boundary, configuration baseline, production model, traceability, quality release, asset interfaces, energy calculations, change window, and acceptance evidence.
Interview scorecard
Ask each candidate the same core questions. Score the evidence, ownership, and judgment in the answer instead of relying on job-title or keyword matches.
1. DevOps Engineer: GitHub Actions
Choose a GitHub Actions decision from your work as DevOps Engineer. Which constraint changed the design, and what evidence supported the result?
Use the answer to assess reproducible environments, secure access, automation, observability, and reliable handoff to production. The research and technical commercialization context is an editorial scenario, not a measured claim about Montreal.
2. Senior DevOps Engineer: Jenkins
Describe project work you completed as Senior DevOps Engineer involving Jenkins that did not follow the original plan. What did you own, and how did you correct it?
Use the answer to assess deployment safety, service measures, observability, incident response, and platform self-service. The product and software delivery context is an editorial scenario, not a measured claim about Montreal.
3. Cloud DevOps Engineer: GitLab CI
For a GitLab CI system you supported, explain the handoff, operating limits, and measures used after launch. Where did your responsibility begin and end?
Use the answer to assess reproducible environments, secure access, automation, observability, and reliable handoff to production. The research and technical commercialization context is an editorial scenario, not a measured claim about Montreal.
Need the full DevOps Engineer evaluation guide?
The role guide covers technical scope, interview questions, and evidence checks once, without repeating the same material on every city page.
FAQ
For qualified exclusive searches in our core disciplines, Crosscheck targets a first candidate slate within 48 hours after a completed intake. Contract placements include a 40-billable-hour replacement guarantee, and permanent placements include a 90-day replacement guarantee, subject to the signed agreement.
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