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).
- 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).
- 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.
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