Infrastructure Architect

• Design and execute the technical strategy for integrating the Epistemix platform into client environments.
• Leverage Terraform, Kubernetes and Docker across client environments, ensuring security and repeatability with a primary focus on AWS and data connections like Snowflake and Databricks.
• Interface with client IT organization to understand infrastructure environment and provide architectural guidance during implementation.
• Ensure all client-side integration and deployment methods are designed to meet rigorous standards, including SOC 2 and ISO 27001, HIPAA.
• Work with client IT organizations to set deployments in complex settings, including public cloud (AWS/GCP), private cloud, and traditional on-premises/dedicated application environments.
• Develop and use custom automation tooling (Python is a must) to streamline deployment processes, integrating with client-side identity and access management (e.g., OAuth2/OIDC).

• 8+ years of industry experience, 3+ years of architectural implementation experience
• Hands on and expert level experience in:
• Python, Fast API and/or Django
• Terraform. Additional knowledge of Kubernetes, and Docker highly preferred.
• AWS infrastructure. General architectural mastery of another major cloud provider (GCP) is highly valued.
• Bachelors Degree in Computer Science or a relevant technical discipline such as Mathematics, Statistics, Epidemiology, or Public Health
• Demonstrated experience managing or contributing to organizational compliance programs, specifically the development and implementation of policies and procedures related to HIPAA (HITECH Act) privacy/security rules and achieving SOC 2 attestation
• Experience with data warehouse integrations with Snowflake, Databricks or other data warehouse platforms.
• Experience managing and supporting deployments in environments beyond public cloud (e.g., on-premise, private cloud, or dedicated client application environments).

Nice to Have Experience

• Familiarity with the architectural demands of distributed computing libraries (Ray, Modin, Pandas) is highly valued.
• Familiarity with JavaScript/TypeScript, Node.js, and React.
• Familiarity with leveraging generative AI tools in engineering workflows (e.g., Claude Code, Devin, Coderabbit).

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

• Equity & Incentives - Participation in our stock option program.
• Flexible Time Off - Autonomy to manage your schedule and work-life balance.
• Health, Welfare and 401(k) Programs - Eligibility for benefits (for U.S. employees).
• Meaningful Impact - Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.