Raise the engineering bar. Bring real software-engineering rigor to how we build: design clean, maintainable tooling, integrations, and automation that the rest of the team can build on. Improve the craft around you through design discussion, code review, and mentorship.
Engineer the cloud foundation. Architect and operate secure, well-run environments across Google Cloud Platform and AWS, including IAM and security, networking, infrastructure-as-code, containers, and CI/CD, so customers can organize, harmonize, and securely share data.
Build at scale. Create batch workflows and interactive analysis notebooks to process and analyze data at scale, and connect customers' internal data, tools, and processes to Workbench.
Partner with customers. Analyze technical needs, recommend implementations, and train customers and technical partners to be successful on Workbench.
Qualifications
Minimum Qualifications
8+ years designing and building production software, with demonstrable depth in software design and architecture, not just scripting or automation. You decompose messy problems into clean, testable components and can explain the trade-offs behind your design.
Expert-level Python and fluency in at least one other language. A genuine polyglot who has written a lot of code and cares about the craft.
Strong hands-on cloud/platform engineering across GCP and AWS, including IAM and security, networking, infrastructure-as-code (e.g., Terraform), containers (e.g., Docker), and CI/CD.
Track record of independently owning ambiguous, high-stakes customer-facing technical work end to end, with excellent communication and project-management skills across multiple concurrent streams.
BA/BS in Computer Science or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience mentoring engineers, leading technical design reviews, or acting as a team's technical anchor / informal lead.
A body of code that shows range and craft. Open-source contributions, substantial personal projects, or production systems you can speak to in depth.
Production experience with Kubernetes and operating containerized workloads at scale. Microsoft Azure experience.
Experience with clinical / health-data standards and ecosystems. For example: OMOP, FHIR, and healthcare or biomedical research data.
Experience with large-scale data workflows and analysis (e.g., BigQuery, batch pipelines, statistical analyses).
Compensation Information
The US base salary range for this full-time position is $172,500 - $194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
