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Remote · DevOps / Platform Engineer

Site Reliability Engineer

Tecsys Inc. · Montréal · Canada

Remote Full time Posted Open until 18 Oct 2026
  • Remote Remote-first flexibility and the trust to manage your own time — job description

The job, in the employer's words

At Tecsys, the software we deliver keeps hospitals, pharmacies and distributors supplied with what they need, when they need it. Every role here connects to that outcome.

Why This Role Matters

As a Site Reliability Engineer, you will join our Network and Security Operations Center (NOC), a team at the heart of platform reliability for mission-critical SaaS environments. You will help maintain, optimize, and ensure the reliability and performance of the systems that power our cloud infrastructure across AWS and Kubernetes, with a strong focus on automation, observability, and continuous improvement. This role blends reliability engineering with incident command, giving you real ownership over uptime, performance, and innovation. You will be part of a highly skilled team that values creative problem-solving, operational excellence, and continuous improvement through automation and resilience engineering.

What You’ll Be Part Of

Tecsys is trusted by mission-critical organizations in healthcare and distribution to power resilient, efficient and secure supply chains. We are a global provider of cloud-based, AI-driven software, publicly traded on the Toronto Stock Exchange (TSX: TCS).

Three values guide how we work. We earn trust daily by valuing the customer and acting with integrity. We build each other up by recognizing individual strengths and working as one team. And we explore boldly by staying curious and adapting for success.

You’ll join a culture driven by curiosity, continuous learning, and people who challenge what’s possible.

What You’ll Do

  • Collaborate with engineering teams to support services from design through launch, including system design consulting, capacity planning, and launch reviews
  • Maintain service reliability post-deployment by monitoring availability, latency, and overall system health
  • Identify pain points and drive continuous improvements to enhance scalability, simplicity, and platform resilience
  • Own observability by developing and improving monitoring, alerting, dashboards, and defining SLOs/SLIs (Datadog)
  • Build and enhance automation, internal tooling, and IaC frameworks (Terraform, CI/CD) to enable scalable and self-healing systems
  • Scale systems sustainably through automation and reliability-focused improvements
  • Leverage AI tools (e.g., Amazon Kiro) to accelerate execution while validating outputs
  • Lead incident response, act as Incident Commander when required, and drive blameless postmortems with long-term fixes
  • Implement and maintain logging, monitoring, alerting, and SLA reporting practices
  • Create and maintain technical documentation and contribute to SRE best practices
  • Partner with platform engineering, deployment teams, and cross-functional stakeholders to support growth and system stability
  • Collaborate with internal teams and vendors globally to ensure high performance, availability, and reliability across environments

Requirements

What You Bring

  • Strong relevant experience in Site Reliability, Cloud, or DevOps Engineering in SaaS or large-scale production environments
  • Strong experience with AWS (multi-account, VPC, EC2, EKS) and Kubernetes at scale
  • Hands-on expertise with Infrastructure as Code and automation tools (Terraform, Ansible, or similar)
  • Experience with CI/CD pipelines and release automation (GitLab preferred, Jenkins acceptable)
  • Proficiency in monitoring and observability tools (Datadog or equivalent), including metrics, logging, alerting, and dashboards
  • Experience designing, deploying, and operating large-scale, distributed systems and multi-vendor platforms
  • Solid incident management experience, including on-call rotations, escalations, and postmortems
  • Strong scripting skills in Python, Bash, Java, or similar for automation and diagnostics
  • Familiarity with AI-assisted engineering tools (e.g., Amazon Kiro) and ability to validate outputs effectively
  • Basic knowledge of Java or .NET-based development environments
  • Proactive mindset with strong ownership, problem-solving, and knowledge-sharing habits
  • Willingness to participate in on-call rotations and occasional travel to the office(less than 10%)

Fluency in written and spoken English is essential for communicating effectively with clients, suppliers, business partners, and colleagues outside of Quebec.

Benefits

Why You’ll Love It Here

  • Remote-first flexibility and the trust to manage your own time
  • Benefits and vacation from day one
  • Pension plan with competitive employer contribution
  • Employee events and community initiatives
  • Room to learn, stretch and take on new challenges
  • Collaboration with global teams

We foster an inclusive workplace where everyone feels valued, respected, and empowered to thrive. 

If this role fits what you are looking for, apply today. If you are not actively searching but want to hear more, we are glad to talk.

Apply today and discover what you could build, solve, and achieve with Tecsys!

#LI-TECSYS

Benefits mentioned

  • Apply today and discover what you could build, solve, and achieve with Tecsys!
  • #LI-TECSYS

Requirements mentioned

  • Strong relevant experience in Site Reliability, Cloud, or DevOps Engineering in SaaS or large-scale production environments
  • Strong experience with AWS (multi-account, VPC, EC2, EKS) and Kubernetes at scale
  • Hands-on expertise with Infrastructure as Code and automation tools (Terraform, Ansible, or similar)
  • Experience with CI/CD pipelines and release automation (GitLab preferred, Jenkins acceptable)
  • Proficiency in monitoring and observability tools (Datadog or equivalent), including metrics, logging, alerting, and dashboards
  • Experience designing, deploying, and operating large-scale, distributed systems and multi-vendor platforms
  • Solid incident management experience, including on-call rotations, escalations, and postmortems
  • Strong scripting skills in Python, Bash, Java, or similar for automation and diagnostics
  • Familiarity with AI-assisted engineering tools (e.g., Amazon Kiro) and ability to validate outputs effectively
  • Basic knowledge of Java or .NET-based development environments
  • Proactive mindset with strong ownership, problem-solving, and knowledge-sharing habits
  • Willingness to participate in on-call rotations and occasional travel to the office(less than 10%)

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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Remote share — DevOps / Platform Engineer jobs in Canada

97% are remote

31 of 32 jobs we have listed

Advertised pay — DevOps / Platform Engineer jobs in Canada

CAD 146k median advertised pay / year

Middle half: CAD 128k – CAD 205k

From 14 listings that state pay