BenchSci is looking for a Senior Systems Administrator who combines strong technical depth
with a genuine passion for delivering a great employee technology experience. You’ll help
design, improve, and secure the systems that support our global workforce, and take equal
pride in ensuring they're reliable and practical for people to use every day.
This role is well-suited for someone who is ready to take on broader technical ownership while
continuing to deepen their architectural and leadership skills. You’ll partner closely with IT
leadership and the business to scale our evolving environment thoughtfully while remaining
visible, approachable, and engaged in day-to-day support where it matters most.
This is a hands-on senior role for someone who enjoys solving complex technical problems,
improving systems at scale, and showing up for employees when they need help.
We are welcoming applicants in the GTA for this position. Please note that this role will require a
minimum of 2 days in-office at BenchSci’s Toronto headquarters office, with some flexibility
required based on business needs.
How We Work: AI-First by Design
BenchSci is an AI-first organization, and this mindset shapes how we build systems, solve
problems, and scale our operations. Within IT, we actively use AI to improve diagnostics,
automate workflows, enhance documentation, and make better technical decisions faster.
In this role, you’ll be expected to thoughtfully leverage AI tools as part of your daily work, from
troubleshooting and scripting to system design and process improvement, and to help identify
new ways AI can improve reliability, service quality, and employee experience across our
environment.
We’re not just experimenting with AI; we’re operationalizing it. Candidates who are curious,
pragmatic, and excited about using AI to level up how IT works will thrive here.
Pay range: $100,000 - 115,000
We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role’s current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope.
