About the position
Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale. Compute Infrastructure is at the core of Artera’s product: using AI to interpret gigapixel scale images to make predictions about cancer therapy as well as rapidly develop new AI models for deployments in different countries. As a Software Engineer at Artera, you will work with a team of Platform Engineers who develop tools and services to improve developer experience, security and productivity by providing self-service capabilities with automated infrastructure operations. This enables our Clinical Development Team, Customer Success Team, Machine Learning Engineers, Biostatisticians, and Product Teams to support the personalization of cancer therapy.
Responsibilities
- Collaborate with AI scientists and software developers.
- Design, build, and maintain compute infrastructure (AWS Kubernetes, AWS ECS, Lambda and EC2 instances).
- Set Compute Infrastructure Engineering vision and drive both independent and collaborative software development projects end-to-end.
- 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 process.
- Optimize training and inference workflows for machine learning engineers, keeping 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.
Requirements
- Demonstrated integrity and consideration for appropriate data governance when working with sensitive confidential data.
- Prior experience managing multi region AWS Kubernetes and AWS ECS infrastructure at scale with security mindset.
- Prior experience upgrading Kubernetes clusters and ECS in production environments.
- Experience with some of AWS Storage services: S3/EFX/FSx.
- Track record of building infrastructure automation solutions using Infrastructure-As-Code.
- Some experience with CI/CD.
- Experience building services and tools using Python with software engineering mindset.
Nice-to-haves
- Interest in building systems that have solid monitoring and observability capabilities.
- Ability to work well in a team environment and value collaboration.
- Adaptability and preparedness for changing circumstances.
- Strive for continuous learning and self-improvement.
- Excellent communication skills.
Benefits
- Base salary of $120,000 - $180,000 a year.
- Equity as a core component of compensation.
- 401k matching.
- Unlimited paid time off (PTO).
