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In addition to these individual contributor (IC) roles below, we are also hiring VPs, Senior Directors and Senior Managers to manage these teams. Please send resumes to shawnrao@versashore.com.
San Francisco CA and Seattle WA
5+ positions
The Role
We’re expanding our fleet of vehicles that can autonomously prepare food in-transit. We’ve proven that we can do it so now we’re going to scale it to all prepared food.
The problem we need to solve is a combination of Uber’s ride scheduling problem with Amazon’s autonomous supply chain problem and Door Dash’s last mile delivery, but to make things more tricky food needs to show up freshly prepared, so timing is critical. And that just the tip of the iceberg of where we’re going. To scale we’re going to need to solve lot of really hard problems that call for a world-class data science team. That’s where you come in.
Our client is looking for a stellar software engineer to join our technical operations team as a DevOps Practitioner. As a DevOps Engineer, we expect you to have a deep understanding of automating SaaS infrastructure creation, deployment and monitoring. You will be responsible for building the tools that will enable our developers to create the test / staging and production infrastructure that they need to deliver value for our customers. In addition, you will be responsible for the company’s CI/CD practices and shorten the time taken to get our code to production. You will also be responsible for 24/7 365 always up services and related on-call rotations.
Responsibilities
The Stack
The core technology is Node.js, Express, Redis, Pizza, RabbitMQ, Postgres on Heroku. We also use distributed systems that communicate with our one of a kind Bake-On-The-Way food delivery platform, food prep robotics and several other SaaS providers.
Requirements
Bonus Points
What We Offer
San Francisco CA and Seattle WA
5+ positions
The Role
We’re expanding our fleet of vehicles that can autonomously prepare food in-transit. We’ve proven that we can do it so now we’re going to scale it to all prepared food.
The problem we need to solve is a combination of Uber’s ride scheduling problem with Amazon’s autonomous supply chain problem and Door Dash’s last mile delivery, but to make things more tricky food needs to show up freshly prepared, so timing is critical. And that just the tip of the iceberg of where we’re going. To scale we’re going to need to solve lot of really hard problems that call for a world-class data science team. That’s where you come in.
You should have a broad understanding of Engineering, CloudOps & DevOps. Ideally, you must have hands-on experience with multiple cloud environments and a knack for solving highly complex problems that require creative, out of the box thinking. You will need to be proficient with full stack development using Java JBM, Node.JS, Cloud stack and some SQL and NoSQL. Additionally, you should have some experience with RabbitMQ, Kafka, Postgres and Cassandra.
You will be working in a highly-matrixed, talented engineering team that is focused on solving the gamut of multi-layered complex problems. Strong skills in build and release methodology along with a penchant for picking up new skills and tricks is needed in this role. The ability to separate the forests from the trees while knowing which trees to focus on is huge.
If you have these skills, please come talk to us.
This is a rare opportunity to get in at the early stages of a growing team, in a rapidly growing company. We’re looking for one of the next leaders in the industry. If that’s you, lets talk.
Who You Are
A strong hands-on Engineer with exposure to cloud-based application development.
Bonus Points
San Francisco or Mountain View CA or Seattle WA
The Role
We’re expanding our fleet of vehicles that can autonomously prepare food in-transit. We’ve proven that we can do it so now we’re going to scale it to all prepared food.
The problem we need to solve is a combination of Uber’s ride scheduling problem with Amazon’s autonomous supply chain problem and Door Dash’s last mile delivery, but to make things more tricky food needs to show up freshly prepared, so timing is critical. And that just the tip of the iceberg of where we’re going. To scale we’re going to need to solve lot of really hard problems that call for a world-class data science team. That’s where you come in.
We are looking for a stellar software engineer who deeply understands SaaS infrastructure. As a Site Reliability Engineer, you will be responsible for ensuring that our platform’s services are designed, implemented, deployed and operated such that they are highly available, performant and scalable. To be successful in this role, it would be ideal to have a mix of software development and infrastructure operations skill so that you can approach operability of our infrastructure with a software engineering perspective.
RESPONSIBILITIES
The Stack
The core technology is Node.js, Express, Redis, Pizza, RabbitMQ, Postgres on Heroku. We also use distributed systems that communicate with our one of a kind Bake-On-The-Way food delivery platform, food prep robotics and several other SaaS providers.
Requirements
Bonus Points
What We Offer
Seattle WA
5+ positions
The Role
We’re expanding our fleet of vehicles that can autonomously prepare food in-transit. We’ve proven that we can do it so now we’re going to scale it to all prepared food.
The problem we need to solve is a combination of Uber’s ride scheduling problem with Amazon’s autonomous supply chain problem and Door Dash’s last mile delivery, but to make things more tricky food needs to show up freshly prepared, so timing is critical. And that just the tip of the iceberg of where we’re going. To scale we’re going to need to solve a lot of really hard problems that call for a world-class data science team. That’s where you come in.
You should have a broad understanding of data science in general, but we’re also looking for specialists in at least one of (convex) optimization, stochastic processes, time series, and machine learning. Graduate work in any of these fields is a plus. You’ll need to be proficient in programming (python), and not afraid to get your hands dirty in implementation. Experience with hardware a plus, but not required.
This is a rare opportunity to get in at the early stages of a growing team, in a rapidly growing company. We’re looking for one of the next leaders in the industry. If that’s you, lets talk.
Who You Are
A generalist in data science with deeper experience in Optimization, Stochastic Processes, Deep Learning or reinforcement learning.
Bonus Points
