Site Reliability Engineer - Remote

Overview

As a Site Reliability Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient.

In Short

• Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.
• Establish standards and best practices for reliability and performance across the infrastructure.
• Automate processes when relevant, particularly for managing CI/CD pipelines.
• Own products and projects end-to-end, functioning as both an engineer and a project manager.
• Collaborate with cross-functional teams to understand project requirements.
• Mentor junior team members and contribute to knowledge sharing.
• Navigate ambiguity and exercise good judgment on tradeoffs and tools.
• Demonstrate pride, ownership, and accountability for your work.

Requirements

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
• 3+ years of professional work experience in a fast-paced, high-growth environment.
• Extensive experience with Kubernetes.
• Experience in building and maintaining scalable infrastructure.
• Experience with infrastructure-as-code tools and CI/CD tooling.
• Relevant OSS observability experience is a plus.
• Ability to own projects end-to-end, from project specification to execution.
• No prior machine learning experience required, but should be open to learning about it.

Benefits

• Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums).
• A unique opportunity to be part of a rapidly growing startup.
• An inclusive and supportive work culture that fosters learning and growth.
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.