2 months ago
Toronto, CanadaSenior
Responsibilities
- Design, develop, and deliver new software features across Verily’s technology stack.
- Build modular, composable, and interoperable platform components for precision health data storage, processing, and product frameworks.
- Develop software using GitHub, Google Cloud, Go, Docker, Terraform, and other industry-standard tools.
- Analyze technical design problems, compare implementation options, and propose solutions.
- Collaborate effectively with the development team while working independently.
Requirements
- BA/BS in Computer Science, Electrical Engineering, or equivalent practical experience in software development.
- At least 2 years of experience as an industry software developer.
- Experience building software and systems on GCP, AWS, or Azure, with GCP preferred.
- Experience with one or more general-purpose programming languages, including Java, C/C++, C#, Objective-C, Go, Python, or JavaScript.
- Preferred experience with Go, Java, Python, and/or SQL.
- Preferred proficiency in Apache Beam and related technologies for data ingestion and processing.
- Preferred understanding of ETL principles and best practices.
- Preferred experience designing and implementing scalable data-processing pipelines with Bioquery or other analytics-oriented databases.
- Preferred education or exposure to healthcare or life sciences, especially HL7 FHIR.
Benefits
- Canada base salary range of CAD 146,500–164,500 plus bonus, equity, and benefits.
- Full-time position based in Canada.
- 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
BackendData Engineering
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.