Software Engineer

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.

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.

Nice-to-Haves

• 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.