DevOps Engineer (Remote First) at FeaturesNow | Torre

DevOps Engineer (Remote First)

You'll scale global AI infrastructure by engineering secure and reliable cloud deployment pipelines.
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Full-time

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Shared by
Juan Fernando Domínguez
about 7 hours ago

Requirements and responsibilities


What You'll Be Working OnDesign and maintain modern CI/CD pipelines using GitHub ActionsBuild secure and scalable cloud infrastructure on Google Cloud Platform (GCP)Deploy containerized applications using Cloud Run and GKEImplement Infrastructure as Code with TerraformStrengthen GitHub security with branch protection, CodeQL, secret scanning, and dependency managementManage Docker images and Artifact RegistryImplement observability with monitoring, logging, tracing, and alertingCollaborate with Data Science and ML teams to build reliable MLOps deployment pipelinesImprove cloud reliability, security, scalability, and cost efficiencyWe're Looking For3+ years of experience in DevOps, Platform Engineering, or SREStrong experience with GitHub Actions, Docker, Kubernetes, and TerraformHands-on experience with Google Cloud Platform (AWS/Azure experience is also welcome)Knowledge of GitHub security best practicesExperience with monitoring and automationComfortable working in a fully remote, collaborative environmentBonus SkillsSnowflakeVertex AI or MLflowBigQuery, Databricks, or dbtMLOps and production ML deploymentsWhy FeaturesNow?At FeaturesNow, you'll work on cutting-edge AI and data engineering projects, collaborate with a talented global team, and have the opportunity to shape the infrastructure behind innovative products used by international clients.Interested? Send your resume to recruitment@featuresnow.com with the subject "DevOps Engineer Application".