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DevOps Engineer (local to Quebec only)

@ Apptad

Montréal, Quebec

Full-time
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Overview

Apptad is hiring a full-time DevOps Engineer in Montreal, Quebec, on site three days a week, with an in-person interview. The role builds and runs CI/CD pipelines, containers, cloud infrastructure and observability tooling in a regulated enterprise environment.

Responsibilities:

  • Build and maintain CI/CD pipelines with Jenkins, Groovy and GitHub Actions
  • Operate Docker and Kubernetes container environments
  • Automate scripts and deployments with Python and Linux shell
  • Support observability with Grafana, Loki, Alertmanager and PagerDuty
  • Support incident, problem and change management

Requirements summary:

  • Demonstrated experience in Agile delivery teams
  • Experience integrating open-source tools via DevOps methods
  • Working knowledge of ITIL and IT service management
  • Knowledge of cloud platforms, especially Azure
  • Strong written and verbal communication skills

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-09
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

DepartmentSoftware development
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Job description

Job Title: DevOps Engineer (local to Quebec only)

Job Location: Montreal, QC (3 days/week onsite)

Job Type: Full-Time

Note: There will be F2F interview.

Key Responsibilities

  • Scripting: Python, Linux Shell
  • Programming: Foundational knowledge using Python
  • DevOps: Git, Jenkins Pipeline(CI/CD), Groovy, Github Actions
  • Orchestration: Docker(container concepts), Kubernetes
  • Networking: Fundamental knowledge in DNS, TLS, TCP/IP, etc
  • Cloud: Azure, public cloud knowledge
  • Observability: Grafana Loki ,Alert Manager, Open telemetry and PagerDuty
  • Security Practices: Knowledge of critical cyber security controls
  • AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight.
  • Basic knowledge in incident management, problem and change management.

Required Skills

  • Demonstrated experience working effectively within Agile delivery teams.
  • Proven experience integrating products into enterprise environments, including the deployment and integration of open-source products and tools using DevOps methodologies.
  • Working knowledge of IT Service Management principles and ITIL practices.
  • Ability to acquire and apply knowledge of proprietary technologies within a complex, regulated environment.
  • A self-directed approach, supported by demonstrable experience in the technical and application support of enterprise systems.
  • Excellent written and verbal communication skills, together with a professional and collaborative working style.
  • A strong automation and orchestration mindset, with a focus on reducing manual processes and enabling product squads to devote greater capacity to engineering activities.

Nice to Have

  • Cloud: M365, AWS, etc.
  • Orchestration: Terraform

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