DevOps Engineer

Key Skills

Bash scripting, CloudFormtion, Containerization, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, Effective communication skills, Git, Kubernetes-K8s, Python Programming, Terraform

Job Description

At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organizations, to empowering scientists, doctors, and journalists — we’ve seen firsthand how this approach democratizes and accelerates AI. Now, we’re building Snorkel Flow to bring our technology to everyone!

Building Snorkel Flow requires outstanding engineers and technologies across the stack, including scalable data pipelines, elegant and intuitive interfaces (both visual and programmatic), state-of-the-art ML modeling techniques, and best practices for seamless deployment. Modern AI approaches require large labeled training datasets to learn from. While traditional approaches typically rely on armies of human annotators to label by hand, Snorkel Flow empowers users to programmatically label and build training data sets to drive a radically faster, more flexible, and higher quality end-to-end AI development process. Snorkel Flow is an end-to-end development platform, complete with a GUI and powerful programmatic interfaces for driving the development process for full AI application workflows: from preprocessing, to programmatic training data creation, to ML model training, to analysis, and deployment. It's the data-first platform for enterprise AI.

Excited to help us redefine how AI applications are built? Apply to be the newest Snorkeler!

As a DevOps Engineer, you'll unlock the potential of the engineering team by increasing developer productivity. You'll own and drive how CI/CD practices and processes scale in a growing organization. You will be working with senior engineers and ML scientists to build highly available infrastructure.

Main Responsibilities

• Deploy and maintain critical applications on cloud-native microservices architecture
• Deploy and maintain CI/CD pipelines across multiple environments
• Implement automation, effective monitoring, and infrastructure-as-code
• Manage release branches and automated deployments for testing, staging and production environments
• Iterate on best practices to increase the quality & velocity of development and deployments
• Sustain and improve the process of knowledge sharing throughout the engineering team
• Have on call responsibilities in rotation with the engineering team
• Work a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with No Meeting Tuesdays and Thursdays

Preferred Qualifications

• Experience maintaining and deploying highly-available, fault-tolerant systems at scale
• A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
• Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
• Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda)
• Version control system experience (e.g. Git)
• Experience implementing CI/CD (e.g. CircleCI)
• Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
• Effective communication skills

The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $155,000.00 - $215,000.00.

Be Your Best At Snorkel

Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.