DevOps Engineer (Cloud Infrastructure)
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Aug 31, 2026.
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!
We are looking for a DevOps engineer to join our team. The DevOps Engineer is involved in prototyping, architecting, and building the development, production, and testing infrastructure supporting Tecsys services. The Infrastructure & Production Operations team strives to automate everything, manages our infrastructure as a code, and builds our platform on the top of Open Source tools and applications.
Responsibilities
- Build and automate client infrastructure deployments.
- Design scalable deployment, CI/CD, and automation solutions across the Tecsys platform lifecycle.
- Leverage AI agents (Amazon Kiro) to orchestrate and accelerate technical tasks while validating results.
- Develop deployment logic, automated tests, and incident-response playbooks.
- Manage AWS/Azure infrastructure, hybrid architectures, Kubernetes, and container environments.
- Monitor platform stability, troubleshoot incidents, and participate in on-call support.
- Collaborate with Development teams on deployment automation and infrastructure scalability.
- Plan and execute maintenance and continuous improvement initiatives.
Requirements
Qualifications
- Bachelor’s degree or equivalent experience.
- 4+ years supporting high-volume, highly available Java/.NET production systems.
- 2+ years of AWS or Azure production experience.
- Strong Linux/Unix, Bash, scripting, and networking fundamentals.
- Hands-on experience with Docker, Kubernetes (EKS/AKS), Terraform, and Ansible.
- Strong AWS/Azure infrastructure knowledge, including IAM, EC2, VPC, Load Balancing, and Autoscaling.
- Experience with CI/CD tools such as GitLab or Jenkins.
- Experience with monitoring/observability tools such as CloudWatch, Datadog, New Relic, or Nagios.
- Strong proficiency in both written and verbal English communication essential for effective correspondence with clients, suppliers, business partners, and colleagues beyond the province of Quebec.
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.