At
Tecton, we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts away the complex engineering to speed up innovation.
Tecton’s founders developed the first
Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.
Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
As a member of Tecton’s Infrastructure Engineering DevOps team, you will contribute to and own the foundation for building, automating, and scaling Tecton. You will leverage your experience with cloud architectures, distributed systems, containerization technologies (Kubernetes), and Linux system internals to design, build, and maintain our multi-cloud deployments, ensure our systems are secure in-depth, and work closely with the rest of Tecton’s Infrastructure Engineering team to scale and optimize our core compute and online serving systems.
Prior experience with machine learning is not required. We are looking for exceptional DevOps, infrastructure, and software engineers who are driven to find simple solutions to complex challenges. You'll be at the intersection of design, engineering, and operational processes.
ResponsibilitiesOwn the complete lifecycle of Tecton’s cloud infrastructure development from design through automation, deployment, and operationEngage with other engineering and solutions teams to build tools that will accelerate engineering and deployment efficiencyDevelop and maintain infrastructure and tooling to monitor observability of Tecton health, availability, latencyJoint ownership building and managing Tecton’s CI/CD system to reliably deploy production components with a GitOps model; Including the multi-language, multi-platform Build System based on BazelParticipate in an on-call rotation, triaging and addressing Tecton platform major incidentsQualificationsEngineer with 5+ years experience in DevOps, SRE, or Software EngineeringExperience with infrastructure-as-code tools such as TerraformFluent in one or more programming languages such as Python or GolangExpertise in cloud providers such as AWS, Google Cloud, and/or Microsoft AzureExperience building and troubleshooting robust and secure networksExperience with microservices & container orchestration such as KubernetesExpertise in observability stack (Prometheus, ELK, Chronosphere, Datadog, etc.)A passion for excellence and high developer productivityStrong and effective verbal and written communication skillsIn-depth experience with Linux systems administration and troubleshootingNice to haveExperience building reliable CI/CD pipelines (Github, CircleCI, Buildkite, etc.)Experience with Kubernetes configuration management tools (Helm, Kustomize, etc.)Experience with GitOps tools (Flux CD, Argo CD)Experience with on-call rotation and support of production environmentsExperience working with complex Build Systems (Bazel in particular)Experience working with large scale data infrastructure or batch/streaming data pipelinesTecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
