2 months ago
Waterloo, CanadaSenior
Responsibilities
- Own the implementation of a significant developer platform capability or set of capabilities.
- Design and develop capabilities using cloud-native open-source components, developer tooling, and AI.
- Collaborate effectively with team members and drive execution toward shared objectives.
- Set best practices for code health and production operations, including monitoring, frequent releases, and reliable CI.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience in software engineering.
- At least 3 years of experience developing and maintaining reliable, scalable, and secure production products and services.
- Experience with cloud technologies, GitHub Actions, VSCode, Kubernetes, Backstage, or related tools.
- Strong foundations in data structures, algorithms, and system design, with analytical and debugging skills.
- Strong communication skills for discussing features, investigating customer issues, and articulating next steps and blockers.
- Preferred: experience with Google Cloud Platform, Kubernetes, LLMs, centralized developer platform teams, microservices, software delivery platforms, DevSecOps, continuous integration, and release management.
Benefits
- Full-time position with bonus, equity, and benefits.
- Canada base salary range of CAD 120,500–136,000 per year.
- Qualified candidates must be legally authorized to work in Canada; employment-based visa or work permit sponsorship is unavailable.
- Applicant accommodation support is available.
- AI tools are used to help screen or assess applications.
Tech Stack
Categories
About Verily
Verily builds AI-enabled precision health software and data platforms for health systems, life sciences, and public health organizations. Its products organize multimodal clinical data, support regulated research and clinical studies, and power disease-management and population-health workflows. Founded in 2015, the company sells software and services that make healthcare data AI-ready and interoperable across care, research, and public-health use cases.