Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox's comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox's software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
About the RoleAs a Senior DevOps Engineer at Labelbox, you will not only play a crucial role in shaping and implementing our DevOps strategies but also in driving our company's growth. Your innovative solutions and scalable designs will be key in meeting our evolving needs. You will lead the efforts in ensuring our systems are resilient, secure, and efficient, and your expertise will guide critical decisions around our infrastructure architecture.
Your Day to DayCollaborate with teams to integrate and deploy new features and servicesContinuously optimize our CI/CD pipelines to improve speed, reliability, and maintainabilityConduct code reviews for pull requests, ensuring high standards of quality and consistencyParticipate in the team's on-call rotation, providing timely and effective supportDiagnose and resolve production issues, minimizing downtime and ensuring system stabilityLead efforts in monitoring, troubleshooting, and ensuring security and complianceAbout You5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related field, with a proven track record of managing and scaling cloud-based infrastructureExpert knowledge of Kubernetes, Containers, Helm, and TerraformProficiency with CI/CD tools and practices (e.g., GitHub Actions, GitLab, etc), with experience in optimizing and maintaining pipelinesIn-depth knowledge of cloud platforms (e.g., Google Cloud, AWS, Azure), including best practices for security, networking, and cost managementEnjoy hands-on troubleshooting and tracing problems through applications and networksNice to HaveExperience with maintaining Postgres, MySQL, and RedisExperience with DatadogExperience with application and infrastructure security practicesExperience using APM metrics to resolve application performance issuesEngineering at LabelboxWe build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.
We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.
We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.
Annual Base Salary Range$190,000 - $225,000 USD
Excel in a Remote-Friendly Hybrid ModelWe are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wroclaw, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
Your Personal Data PrivacyAny personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox's Job Applicant Privacy notice.
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Due to current team needs, we are only considering candidates based in the San Francisco Bay Area. Please confirm you are based in the SF Bay Area. *
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