Engineer, Cloud - Archimedes

Company

Archimedes

Archimedes
- Transforming the Specialty Drug Benefit
- Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit – alignment, value and transparency – Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost.

We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.

Archimedes is unable to offer remote work to residents of Alaska, Arizona, Arkansas, California, Connecticut, Delaware, Hawaii, Idaho, Louisiana, Maine, Massachusetts, Michigan, Mississippi, Montana, Nebraska, Nevada, New Mexico, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, South Dakota, Utah, Vermont, Washington, West Virginia, and Wyoming.

The Engineer, Cloud specializes in architecting and automating secure, scalable Azure environments. Cloud Engineer supports enterprise data platform initiatives, including Azure Data Lake Storage Gen2, Azure Databricks, and related analytics services. This role is responsible for designing and operating the cloud infrastructure, networking, security, identity, governance, and platform services that enable scalable, secure, and compliant lake house and AI workloads. The Engineer supports the organization's analytics, machine learning, and AI initiatives by implementing and operating cloud infrastructure, networking, security, identity, and platform services that enable secure, scalable, and compliant data, analytics, and AI workloads.

The role assists in supporting Azure Databricks, Azure Data Lake Storage Gen2, Azure Machine Learning, Azure OpenAI, and related cloud-native platform services under the guidance of senior engineering staff.

The Engineer, Cloud focuses on designing infrastructure-as-code solutions and is responsible for deploying core Azure services, managing hybrid workloads, and implementing infrastructure-as-code using Terraform, Bicep, and ARM templates. Ensures network security, cost optimization, and high availability across IaaS and PaaS resources. The Engineer ensures high availability, performance, and security across IaaS and PaaS services, including Azure App Services, AKS, SQL, and networking components.

Supports observability, incident response, and compliance with regulatory standards through advanced monitoring, security tooling, and ITSM practices. In addition, the Engineer supports observability through telemetry, monitoring, and alerting strategies using Azure-native tools. The Engineer plays a key role in incident response, disaster recovery, and continuous compliance with industry and regulatory standards (e.g., HIPAA, SOC 2, ISO 27001). This position requires cross-functional collaboration with Dev Ops, Security, Software Engineering, and Compliance teams to drive operational excellence, automation maturity, and audit readiness.

How do I make an impact on my team?

• Architect and deploy solutions using core Azure services, including Azure App Services, AKS, Azure SQL, Storage Accounts, Application Gateway, Azure Front Door, and Load Balancers.
• Design and deploy scalable, secure solutions using core Azure services including App Services, AKS, Azure SQL, Storage Accounts, Application Gateway, Azure Front Door, Load Balancers, and related PaaS/IaaS components.
• Design, implement, and support cloud infrastructure and networking services that enable Azure Data Lake Storage Gen2, Azure Databricks, analytics platforms, and AI workloads.
• Collaborate with Data Engineering and Dev Ops teams to establish secure, scalable,…