Senior Software Engineer - Infrastructure

New

Skills

AWS Gcp Go Kubernetes Python

Design and architect scalable infrastructure systems for our ML inference platform

Lead optimization of Kubernetes deployments for efficient, cost-effective model serving

Drive enhancements to our inference orchestration layer for complex model deployments

Define monitoring strategies for model performance, latency, and resource utilization

Develop advanced solutions for GPU capacity management and throughput optimization

Establish infrastructure automation standards to streamline ML deployment workflows

Bachelor's degree or higher in Computer Science or related field

5+ years experience building production infrastructure systems

Expert-level proficiency in Go, with Python experience a plus

Deep expertise with Kubernetes in production environments

Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus

Experience with ML/AI workloads and MLOps platforms highly valued

Competitive compensation, including meaningful equity

100% coverage of medical, dental, and vision insurance for employee and dependents

Generous PTO policy including company wide Winter Break

Paid parental leave

Company-facilitated 401(k)

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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