Labelbox’s mission is to build the best products to align with artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Labelbox's data engine enables organizations to dramatically improve the quality of their training data, which makes their machine learning models more accurate and performant. We are determined to build software that is more open, easier-to-use, and singularly focused on helping our customers get to production AI faster.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, Black + Decker, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
As a Senior DevOps Engineer, you’ll help organize our DevOps practices and provide solutions to meet our scaling needs. You will make decisions regarding product infrastructure architecture along with optimizing our CI/CD processes to maximize throughput. You will mentor other team members along with participating in architecture discussions and implementations with engineering on how best to achieve desired outcomes.
Your Day to DayReview infrastructure, security, and organization needs against industry standards and trends to recommend the best approach for us using DevOps best practicesRecommend improvements to processes to obtain consistent, repeatable resultsIdentify bottlenecks and recommend solutionsImplement CI/CD and other infrastructure projects working with other members of the teamPerform Code Review for Pull RequestsParticipate in the team’s on-call rotationTackle problems and resolve active production issues
About You5+ years of experience in bleeding-edge DevOps teams Experience in production operations of a SaaS productAbility and communication skills to drive initiatives across the companyExperience working in a startup business cultureComfort in a large scale and rapidly growing environmentExtensive knowledge in cloud platforms, specifically GCPEnjoy hands-on troubleshooting in a distributed Linux environment and are comfortable tracing problems through applications and networksExpert level knowledge of Linux operating systemsExperience with monitoring tools DatadogIn-depth knowledge of Kubernetes, Docker, and HelmExperience with deployment/automation tools, such as ArgoCD and TerraformExperience designing CI/CD pipelines and tools from scratchProgramming/scripting languages like Bash, Python, Java, Go, etc.
Nice to HaveExperience with maintaining Postgres, MySQL, ElasticSearch, RabbitMQ and RedisYou have experience in visualization tools such as Kibana and Grafana
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for this United States based position is $170,000 - $215,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.