Technical Solutions Engineer (Workbench)

Verily • Dallas, TX

1d • $172,500 - $194,000

About The Position

Verily Health is a data platform and technology company focused on AI-enabled precision health. The Workbench Solutions Engineering team works with biomedical research communities, including data stewards, investigators, and technical teams, to organize data, manage secure access, and support research. The team supports national efforts such as the NIH All of Us Research Program and AMP PD.

This is a senior, deeply technical role combining software engineering, cloud and platform engineering, and customer partnership. The engineer takes on ambiguous and high-stakes problems, develops well-designed solutions, raises engineering standards, and helps accelerate biomedical research through technology.

Requirements

• At least 8 years designing and building production software, with depth in software design and architecture beyond scripting or automation.
• Expert-level Python and fluency in at least one other programming language.
• Hands-on cloud and platform engineering across GCP and AWS, including IAM and security, networking, infrastructure-as-code such as Terraform, containers such as Docker, and CI/CD.
• Track record of independently owning ambiguous, high-stakes, customer-facing technical work end to end.
• Excellent communication and project-management skills across multiple concurrent workstreams.
• BA/BS in Computer Science or a related technical field, or equivalent practical experience.

Nice To Haves

• Experience mentoring engineers, leading technical design reviews, or serving as a team's technical anchor or informal lead.
• Open-source contributions, substantial personal projects, or production systems demonstrating range and engineering craft.
• Production experience with Kubernetes and operating containerized workloads at scale.
• Microsoft Azure experience.
• Experience with clinical or health-data standards and ecosystems, such as OMOP or FHIR, and healthcare or biomedical research data.
• Experience with large-scale data workflows and analysis, such as BigQuery, batch pipelines, or statistical analyses.

Responsibilities

• Own ambiguous, high-stakes customer and technical problems end to end, from discovery through delivery of a well-designed solution.
• Design clean, maintainable tooling, integrations, and automation; improve engineering practices through design discussions, code review, and mentorship.
• Architect and operate secure cloud environments across Google Cloud Platform and AWS, including IAM and security, networking, infrastructure-as-code, containers, and CI/CD.
• Build batch workflows and interactive analysis notebooks to process and analyze data at scale, and connect customers' internal data, tools, and processes to Workbench.
• Analyze customers' technical needs, recommend implementations, and train customers and technical partners to use Workbench successfully.

Benefits

• Bonus
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior