This is a 12-16 month co-op position starting in May 2027 and can be on-site in our Toronto office, hybrid or entirely remote in Ontario.
We're looking for a motivated co-op student to join Vena's SaaS Technology & Operations (STO) organization for a 12–16 month term. STO keeps our global SaaS platform running for some of the biggest companies in the world, including Nando's, Wells Fargo, and WWF (see what our customers have to say about our platform here). Depending on team placement, you may work alongside teams focused on platform infrastructure, DevOps, quality assurance, or security, getting hands-on exposure to how Vena designs, builds, tests, and operates its infrastructure at scale.
- As a Cloud & DevOps Engineer Co-op within our SaaS Technology & Operations organization, you'll contribute to teams focused on Developer Experience, DevOps, and Site Reliability Engineering
- Contribute to automation efforts that improve testing, deployment, or operational reliability
- Collaborate with cross-functional team members on features and implementation within an agile environment
- Assist with hardening initiatives that improve the security, stability, or compliance posture of our cloud environments
- Help improve monitoring, test coverage, or visibility into how our platform is performing
- Support other team members with their projects and day-to-day tasks
- Document processes and findings to help build the team's institutional knowledge
- Currently enrolled in a co-op eligible program in Computer Science, Software Engineering, Computer Engineering, or a related field
- Foundational programming or scripting experience (e.g., Python, Java, or similar)
- Interest in one or more of: cloud infrastructure, DevOps, SRE, or security
- You love learning new things and being challenged
- You are self-motivated and self-disciplined
- You love troubleshooting and finding the root cause of problems
- You believe in helping the entire team be successful
- You love automation
- You think work should be fun and engaging
- Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies
*Our salaries are tailored to roles, levels and locations. Your individual pay within this range is influenced by factors like work location, skills, experience and education. As you progress in your role, your compensation may adapt, offering flexibility for growth beyond initial levels. For specifics, your recruiter will provide details and address any questions during the hiring process.