YotaScale is an AI powered technology startup defining Infrastructure Performance Management for the cloud - leveraging machine learning to optimize cloud infrastructure for reliability, visibility and cost. Using sophisticated machine learning algorithms to process millions of data signals, YotaScale provides contextually relevant, real-time anomaly detection and recommendations that can be acted upon immediately. YotaScale has global customers including some of the world's leading tech companies.
We are leveraging machine learning to optimize cloud infrastructure for reliability, visibility, and cost for real customers with global name recognition, including some of the world’s leading tech companies.
We have many interesting machine learning, distributed systems and scalability problems to work on, with over 1.2B data points per hour analyzed and over 500B+ petabytes ingested.
Our leadership team includes industry veterans from PayPal and Google and you'll work with a smart and talented engineering team that we are continuing to build out to tackle these challenges.
Cloud computing adoption is doubling every year and the time is ripe for YotaScale to build the fabric that connects and manages it all. That is where you come in.
Our eng team lives by the agile manifesto and scrum practices. We are a firm believer in continuous integration and continuous delivery and have a codified process to push code to production multiple times a day. Our team operates on a two-week sprint cycle. We value strong ownership from all team members and empower each member to be the full-cycle developer. Every individual is responsible for working directly with product and customer to hash out requirements and is directly responsible for successful delivery.
Our engineering team has four main focus areas. They are described as follows:
The Application Engineering team's mission is to build a fantastic product that delights Yotascale’s customers. The team charter is (1) design and implement application features and APIs that enable the most visible aspect of Yotascale’s product; (2) transform large and complex datasets to beautiful visualizations and push frontend graphics to the limit to handle high scale data; (3) partner with a cross-functional team of designers and product managers to plan, architect, build, and deploying full-stack applications into production; (4) Help establish a culture rapidly prototyping and experimentation to create best-in-class user-experience for complex user-facing features for Yotascale customers.
Data Platform Engineering
The Data Platform team's mission is to build, evolve and scale Yotascale's data platform and pipelines. The team charter is (1) develop, improve and deploy high, scale distributed data pipelines that ingest, analyze and store billions of time-series metrics and events to our downstream storage and analytics services; (2) ensure the system delivers high-throughput and low-latency to enable the delivery of highly available, resilient and durable services; (3) Build and maintain our streaming real-time data processing frameworks (e.g. Spark).
Cloud Ops & Infrastructure
The Cloud Ops & Infrastructure team's mission is to keep our service reliable, available and fast across multiple cloud platforms while improving our engineering teams to self-service day-to-day operations through CI/CD and other tools. The team charter is (1) develop shared tools and services that enable the delivery of high availability services; (2) improve performance and scalability of applications through providing architecture design reviews, performance profiling and load testing; (3) build tools to increase developer productivity and (4) build tools to improve application testability and supportability.
The Machine Learning team's mission is to build, evolve and scale the algorithms that power Yotascale's products. The team charter is (1) research, develop, improve and deploy new state-of-the-art algorithms and technologies that are the foundation of Yotascale's product suite; (2) help envision new products and novel uses for Yotascale technology; and (3) make it easy for other engineering teams to bring the power of machine learning to their work.
In this role, you will be at the intersection of several white-hot areas in today’s technical landscape: Machine Learning, Cloud and Big Data. You will have the opportunity to help us deliver our product to some of the most technically sophisticated customers in the world.
Anomaly Detection to quickly discover problems and provides root-cause analysis, all wrapped in customized and intelligent workflows.
Continuous Optimization (with EC2, S3 and PaaS support) to provide contextually relevant infrastructure improvement recommendations using sophisticated algorithms and a deep library of best practices.
Contextual Analytics to help enable 100% tag hygiene and drive accountability and transparency with analysis that can be sliced & diced in any way.
We’re a pretty crazy bunch. Crazy fun and crazy smart.
We think it should be as easy to manage cloud infrastructure as it is to use the cloud to share funny cat pictures. It’s a crazy idea that we’re making a reality with the best that AI and data science have to offer, and the best minds leading the charge.
Excellent Medical, Dental & Vision Insurance benefits for little cost to employees and their family
Save money for retirement by participating in our 401K
Unlimited vacation (mandatory 2 week minimum)
Solve problems for real customers with global name recognition working with smart, engaged co-workers who are at the top of their game
Great Menlo Park location close to the Caltrain station, Dumbarton bridge, Hwy 101, Palo Alto downtown and Stanford University.
Monthly stipend to cover gym and fitness membership
Weekly team lunches
Team outings and bi-weekly company happy hours
Monthly commuter stipend to cover costs
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