Site Reliability Engineer

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.

Your responsibilities

• Collaborate with other Engineering teams to support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
• Innovate relentlessly: Identify pain points, propose creative solutions, and drive initiatives that simplify, scale, and strengthen the platform.
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
• Own observability: Enhance and expand monitoring and alerting using Datadog; define SLOs/SLIs and create actionable dashboards that drive reliability outcomes.
• Drive automation: Develop and improve internal tooling, IaC frameworks, and pipelines (Terraform, GitLab CI/CD) to reduce manual intervention and enable self-healing systems.
• Scale systems sustainably through automation and evolve systems by pushing for changes that improve reliability and velocity.
• Be on-call.
• Practice sustainable incident response and blameless postmortems. Lead post-incident reviews (RCAs) and identify long-term fixes that improve stability, reliability, and developer experience.
• Implement monitoring, Logging, alerting, and SLA Reporting.
• Create and maintain technical documentation.
• Implement, maintain and mature SRE best practices.
• Lead incidents: Act as Incident Commander for Incidents; coordinate cross-team response, manage communications, and ensure rapid service restoration.
• Provide support for our planning and deployment teams to enable stability, predictability, and scale in our continued growth.
• Collaborate with members of the Platform Engineering team to implement and support far-reaching strategic efforts, provide constructive feedback, and foster a collaborative environment.
• Work cross-functionally with internal teams and vendors to manage our growth around the globe, with a strong focus on maintaining the high level of performance, availability, and reliability for our users.

• 5+ years in Site Reliability, Cloud, or DevOps Engineering, ideally in SaaS or large-scale production environments.

• Experience designing and deploying large scale systems, multi-vendor platforms and globally distributed infrastructure.
• Proven experience managing cloud infrastructure in AWS (multi-account, VPC, EC2, EKS) and Kubernetes at scale.
• Strong hands-on experience with IaC and automation (Terraform, Ansible, or similar).
• Familiarity with CI/CD pipelines and release automation (GitLab preferred, Jenkins acceptable).
• Deep understanding of monitoring and observability using Datadog (or equivalent), including metric design, log pipelines, alerting, and dashboards.
• Experience with incident management, on-call participation, escalation, and structured postmortems.
• Scripting skills in Python, Bash, Java or equivalent for automation and diagnostics.
• Curiosity, ownership, and a bias for action; you see a problem, you solve it, and you share the lessons learned.
• Experience with Fedramp (The Federal Risk and Authorization Management Program) compliance is a strong asset.
• Basic knowledge of Java- or .Net-based development required.
• Strong English communication skills, both written and spoken, are essential for effective correspondence with customers, business partners and colleagues beyond the province of Quebec.

Additional requirements:

• Escalation on-call rotation
• Occasional travel (quarterly offsites, conferences – 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.

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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 meet you.