Senior MLOps Engineer: Cloud-Scale ML Infra & Pipelines

Roku; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Roku is looking for a Senior Software Engineer specializing in MLOps/DevOps. You'll play a critical role in scaling the Machine Learning infrastructure for the Advertising Performance team. Ideal candidates will have a strong background in cloud infrastructure and DevOps practices, and will collaborate closely with ML teams to enhance end-to-end ML lifecycle processes.

Key responsibilities include leading the design of scalable cloud infrastructure and ensuring CI/CD systems support reliable production releases. This position is based in Austin, Texas.

Qualifications

• 8+ years of experience in DevOps, SRE, or ML infrastructure.
• 4+ years supporting large-scale ML or AI systems.
• Strong infrastructure-as-code experience with Terraform.

Responsibilities

• Support and scale Machine Learning infrastructure.
• Partner with ML Scientists and Engineers to streamline ML lifecycle.
• Lead the design and operation of scalable cloud infrastructure for ML workloads.

Skills

Python

Scala

Java

Kubernetes

GCP (GKE)

AWS (EKS)

NoSQL

Apache Spark

Apache Flink

Apache Airflow

Kafka

Jenkins

GitLab Runner

Terraform

Prometheus

Grafana

Datadog

MLflow

Chronon

ML systems

Education

BS or MS in Computer Science, Engineering, or related field

Job description

Roku is looking for a Senior Software Engineer specializing in MLOps/DevOps. You'll play a critical role in scaling the Machine Learning infrastructure for the Advertising Performance team. Ideal candidates will have a strong background in cloud infrastructure and DevOps practices, and will collaborate closely with ML teams to enhance end-to-end ML lifecycle processes.

Key responsibilities include leading the design of scalable cloud infrastructure and ensuring CI/CD systems support reliable production releases. This position is based in Austin, Texas.