Technical Solutions Engineer (Workbench)

Location: Hybrid, Dallas, Texas, United States

Base salary: $172,500–$194,000 per year, plus bonus, equity, and benefits.

Company

hirify.global Health is a data platform and technology company building AI-enabled precision health solutions from multimodal health data to accelerate research and improve care.

What you will do

• Own ambiguous, high-stakes customer and technical problems from discovery through well-designed working solutions.
• Design maintainable tooling, integrations, and automation; contribute through design discussions, code reviews, and mentorship.
• Architect and operate secure environments across Google Cloud Platform and AWS, including IAM, security, networking, infrastructure-as-code, containers, and CI/CD.
• Build batch workflows and interactive analysis notebooks for large-scale data processing and analysis.
• Connect customer data, tools, and processes to Workbench.
• Analyze technical needs, recommend implementations, and train customers and technical partners.

Requirements

• 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 additional 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.
• Experience 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.

Nice to have

• Experience mentoring engineers, leading technical design reviews, or serving as a technical anchor or informal lead.
• Open-source contributions, substantial personal projects, or production systems demonstrating range and software 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.

Culture & Benefits

• Hybrid work arrangement in Dallas, Texas.
• Bonus, equity, and benefits are provided in addition to base salary.
• Work directly with biomedical researchers, data stewards, investigators, data scientists, and technical partners.
• Support major national research efforts including the NIH All of Us Research Program and AMP PD.