Site Reliability Engineer

RXinsider LTD.; Montreal (administrative region); Hybrid; CAD 100,000 - 150,000; Full time

Job summary

Tecsys is seeking a Site Reliability Engineer to join our NOC, responsible for reliability across our cloud infrastructure in AWS and Kubernetes. You will focus on automation, observability, and continuous improvement, owning uptime and performance in a fast-growing SaaS environment.

Join a highly skilled team that values problem-solving, operational excellence, and blameless postmortems. This role requires strong coding, incident leadership, and a proactive mindset with occasional travel.

Qualifications

• 5+ years in Site Reliability, Cloud, or DevOps in SaaS/large-scale setups.
• AWS multi-account setup and Kubernetes at scale.
• IaC and automation with Terraform/Ansible, etc.
• CI/CD pipelines and release automation (GitLab preferred).
• Monitoring/observability using Datadog or equivalent.
• Experience deploying large distributed multi-vendor systems.
• Incident management incl. on-call rotations, escalations, postmortems.
• Scripting in Python/Bash/Java or similar.
• Familiar with AI-assisted engineering tools (Amazon Kiro).
• Basic knowledge of Java or .NET environments.
• Ownership mindset; on-call readiness; travel <10%.

Responsibilities

• Collaborate with engineering to support design through launch.
• Maintain service reliability post-deployment via monitoring.
• Drive continuous improvements for scalability and resilience.
• Own observability with monitoring, alerts, dashboards, SLOs/SLIs.
• Build automation and IaC to enable self-healing systems.
• Scale systems sustainably through reliability enhancements.
• Leverage AI tools to accelerate work and validate outputs.
• Lead incident response and postmortems with long-term fixes.
• Document tech practices and contribute to SRE standards.
• Partner with platform engineering and cross-functional teams.

Skills

Site Reliability

AWS

Kubernetes

Infrastructure as Code

Terraform

CI/CD

Datadog/Observability

Incident management

Scripting (Python/Bash)

AI tools familiarity

Education

Bachelor's degree in CS or related field

Tools

Terraform

Ansible

GitLab

Jenkins

Datadog

Amazon Kiro

Job description

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.

About us

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!

About the Role

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.

Responsibilities

• 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

Qualifications

• 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%)

We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.

At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.

Tecsys is an equal opportunity employer. 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.

***

A Note on Our Hiring Process:We do not use AI to automatically screen or reject candidates. However, we do use specific screening questions to prioritize the most relevant applications for human review.
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. However, we ask that all information you provide reflects your real experience, and that any assessments or written submissions represent your own work and thinking.

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. We genuinely want to meetyou.