Sre - site reliability engineer - remote

Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.
Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!
We are looking for a Site Reliability Engineer to 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.
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., 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

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
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., Basic knowledge of Java or .NET-based development environments
Willingness to participate in on-call rotations and occasional travel to the office(less than 10%)

We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. Accommodation is available for applicants selected for an interview.
NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR , have a valid Canadian work permit.
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We do not use AI to automatically screen or reject candidates. At Tecsys, we welcome the thoughtful use of AI tools to help you prepare your application, for example, to improve clarity, organize your resume, or practice interview responses. During interviews, we expect candidates to engage without the use of AI tools, scripts, or real-time assistance. Authentic, direct conversation helps us get to know how you think, collaborate, and communicate. AI can support your preparation, but it shouldn’t speak or act on your behalf.