Job Description

Essential Responsibilities:

• Design, build, and maintain compute infrastructure programmatically (AWS Kubernetes/EKS, AWS ECS, Lambda, and EC2) that powers Artera's AI products at scale.

• Work closely with stakeholders to define and refine the platform's architecture, ensuring scalability, observability, reliability, and performance.

• Build out core infrastructure, tooling, and software development processes.

• Work closely with machine learning engineers to optimize training and inference workflows with efficiency and cost in mind.

• Contribute to a range of platform engineering projects, from one-off solutions to long-term systems.

• Contribute to cloud infrastructure security tools and services.

Experience Requirements:

• 2+ years managing containerized infrastructure at scale with a strong security mindset.

• 3+ years building services and tools using Python with a software engineering mindset.

• 2+ years building infrastructure automation solutions using Infrastructure-as-Code (e.g., Terraform, AWS CDK).

• Experience with AWS storage services: S3, EFS, FSx.

• Experience with CI/CD pipelines.

• Demonstrated integrity and consideration for appropriate data governance when working with sensitive, confidential data.

Desired:

• Experience with infrastructure observability and monitoring tools (e.g., Grafana, Prometheus, Datadog).

• Experience supporting ML/AI workloads — GPU instance management, training cluster optimization, batch inference pipelines.

• Familiarity with cost optimization strategies for cloud compute at scale.

• Experience with secrets management and cloud security tooling (e.g., AWS IAM, Vault, KMS).

• Contributions to internal developer tooling or platform libraries consumed by cross-functional teams.

Here are few posts from our teammates, partners and customer voices to highlight the work we do:

• Artera Shapes the Future of Cancer Treatment Using Machine Learning on AWS
• How Artera AI test allowed Bruno to avoid hormone therapy
• Startups are using AI to predict responses to Cancer Drugs
• ArteraAI validates its Prognostic Model in Advanced Prostate Cancer
• How Artera Enhances Prostate Cancer Diagnostics Using AWS

Work Authorization Requirement:

This is a remote role open to candidates who are currently authorized to work either in the United States or in Canada without the need for current or future employment-based visa sponsorship. Artera does not sponsor visas for this position.

Eligible candidates may include:

Individuals authorized to work in the United States on a permanent basis(eg. U.S. citizens, permanent residents), or

Individuals authorized to work in Canada (e.g. Canadian citizens or Canadian Permanent residents)

Visa Transfers (if needed)