Senior Technical Solutions Engineer

About the role

The Workbench Solutions Engineering team engages with all levels of the biomedical research community, from the data stewards who want to share data to the research investigators and technical teams who want to put it to work. We help them organize and securely manage access to data, and we work alongside data scientists to accelerate their research.

Responsibilities

• Own the hardest problems end to end. Take ambiguous, high-stakes customer and technical problems from discovery through a working, well-designed solution, and be someone the team can depend on for anything.
• 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).