Senior Software Engineer, Core Infrastructure
BenchSci
Software Engineering, Other Engineering
Toronto, ON, Canada
CAD 155k-185k / year + Equity
You Will:
- Design and maintain infrastructure supporting our core platform and environments in Google Cloud Platform (GCP)
- Help create reliable, secure, performant, scalable, and high throughput services for our end-users and other engineers within the company
- Steward BenchSci’s CI/CD pipeline to instill reliability, speed, and recoverability
- Resolve in-bound security, compliance, audit, and quality-of-life issues
- Develop best practices for security, scalability, and operational efficiency
- Serve the engineering organization at-large by investing in systems that predict future needs and improve upon existing processes
You Have:
- 5-7 years working as a developer with experience in a DevOps or Infrastructure-focused role
- Experience defining and deploying sophisticated architectures using Infrastructure-as-Code (IaC)
- Familiarity with reference cloud architectures and developing stacks on Kubernetes
- Experience planning, leading, and executing large infrastructure migrations
- Aptitude for handling repetitive tasks through automation
- Expertise in any programming language; Python considered an asset
- A background in computer science fundamentals including algorithms, data structures, software design, and the ability to audit code
- Experience troubleshooting production issues and being part of incident response and on-call schedules
- Comfort using AI coding-assistance tools to enable your work
- A passion for building practical and sustainable solutions that serve your fellow developer
Compensation:
$155,000- $185,000 CAD • includes equity options
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.
BenchSci's mission is to unravel the complexity of disease biology for the betterment of patients. We do this by applying neuro-symbolic AI to unravel the black box of disease biology — the number one reason drug discovery projects fail.
Despite significant advancements, drug discovery still takes over a decade and billions of dollars — and 90% of clinical trials still fail. The core problem is getting the biology wrong before programs go to scale. BenchSci exists to fix that.
Our platform, ASCEND, is the world's first neuro-symbolic AI built for biopharma disease biology. It gives scientists clarity in hours or weeks that previously took months. Our platform is used by 9 of the top 10 pharmaceutical companies across 4,500+ research centers, and grew 247% over three years (Deloitte Fast 500, 2025). We've raised $200M+ from Generation Investment Management, Google's Gradient Ventures, TCV, and F-Prime.
