Designs and engineers distributed systems for compute, scheduling, and orchestration of ML and ETL pipelines handling large-scale video data. Requires 3+ years building data infrastructure, proficiency in Go/Python, and experience with petabyte-scale pipelines and CI/CD.
150k – 300k/yr
On-site3+ YOEDevOps / SRE
About the role
Requirements
3+ years of experience building foundational data infrastructure
Proficient in working across diverse cloud architectures
Designed and maintained pipelines that process petabytes of data
Developed robust CI/CD pipelines tailored for ML-focused teams
Strong coding experience with Go and Python; Experience with Rust is a plus
Operates as an IC who leads by example
Experience with large-scale video data systems
Benefits
401k + Full Health Insurance
Breakfast, Lunch, and Dinner covered and your choice of snacks
Ubers covered home
Skills
GoPythonRustCI/CDKubernetesDistributed SystemsCloud ArchitecturesEtl PipelinesMl PipelinesVideo Data Systems
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