2 months ago
Waterloo, CanadaSenior
Responsibilities
- Own the technical design and implementation of significant developer platform capabilities.
- Build cloud-native capabilities using open-source components such as Kubernetes, VSCode, Backstage, and Terraform, as well as AI technologies.
- Scope tasks and set priorities for team members contributing to assigned objectives.
- Drive high-quality implementation, code health, monitoring, frequent releases, and reliable CI practices.
- Guide junior developers and contribute to design reviews, roadmaps, feature prioritization, and team processes.
Requirements
- BA/BS in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience in software engineering.
- 5+ years of experience developing and maintaining reliable, scalable, and secure production products and services.
- Experience with Go, Python, TypeScript, or similar programming languages.
- Experience with cloud technologies such as Google Cloud Platform, Amazon Web Services, or Azure, plus GitHub Actions, VSCode, Kubernetes, Backstage, or related tools.
- Strong foundations in data structures, algorithms, and system design, along with analytical and debugging skills.
- Strong communication skills for requirements gathering, problem scoping, and system design documentation.
- Preferred qualifications include experience building with LLMs, knowledge of microservices and software delivery platforms, DevSecOps, continuous integration, release management, and centralized developer platform teams.
Benefits
- Full-time position based in Canada with a stated base salary range plus bonus, equity, and benefits.
- Verily provides equal employment opportunity and an applicant accommodation process.
- Qualified candidates must be legally authorized to work in Canada; employment-based visa or work permit sponsorship is unavailable for this position.
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.