Domino has an ambitious vision for data science and machine learning. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including Monsanto, Allstate, and Instacart. Backed by Sequoia Capital, Zetta Venture Partners, Bloomberg Beta, and In-Q-Tel, we are at the epicenter of the data science revolution, helping companies build better cars, develop more effective medicine, or simply recommend the best song to play next.
You will be joining a team of high-performance engineers and have a significant impact on managing a growing infrastructure and service delivery. You’ll be tasked to maintain the health of the Domino platform in a variety of environments, building reliability into our stack, improving our availability, and customizing our DevOps and deployment tool chain.
- Instrument and monitor service health; ensure availability
- Automate creation and configuration of infrastructure and services
- Incident response (on-call) and root cause analysis
- Enhance infrastructure reliability and efficiency
- Collaborate with app, platform engineers and product managers to continuously improve Domino
- Strong coding ability (Python, Bash, Scala)
- Systems fluency (Linux, storage, networking)
- Observability systems (New Relic, Prometheus, ELK)
- Modern software components (Mongo, Redis, ElasticSearch, RabbitMQ, Play, ???)
- Experience with container management (Docker, Kubernetes)
- Infrastructure and configuration automation (Terraform, SaltStack)
- Exceptional problem solving acumen
About Domino Data Lab
About Us Domino was founded by three veterans of the finance industry, to help leading organizations develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next. Our mission is to help data scientists across industries develop and deploy ideas faster with collaborative, reusable, reproducible analysis.
Want to learn more about Domino Data Lab? Visit Domino Data Lab's website.
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