Sr Platform Engineer, ML Infrastructure

📋 Description

• Design, build, and operate scalable ML infrastructure and platform capabilities supporting
• Develop developer tooling, services, automation, and infrastructure that help ML and engineering
• Lead complex technical initiatives independently, from problem definition and architecture through
• Make architectural decisions that balance immediate delivery needs with long-term scalability
• Partner with ML engineers, infrastructure teams, and other stakeholders to understand needs and
• Identify and solve challenging infrastructure problems involving performance, reliability

🎯 Requirements

• 5+ years of professional software engineering experience, particularly in platform engineering
• Strong Python engineering skills, including experience developing production services, SDKs
• Proven experience designing, building, and operating production platforms used by multiple
• Solid understanding of ML platform architecture and the end-to-end machine learning lifecycle
• Experience building and operating applications on Kubernetes and cloud platforms, with AWS
• Strong understanding of production reliability, observability, scalability, and operational best

🎁 Benefits

• Base salary range of $160,000–$287,000 per year, depending on experience, qualifications
• Eligibility for an annual performance bonus.
• Competitive benefits package.
• Full-time, remote position within the United States.
• Visa sponsorship may be available for this position.
• Opportunities for career development, mentorship, and learning and development.