Remote Jobs at Pachyderm

This Month

Sr. Sales Engineer
golang java python data science machine learning docker Oct 12
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto." Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data.  Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. 

As a Sales Engineer at Pachyderm, you will be part of a small, elite, customer-facing engineering team (think Seal Team 6) devoted to solving challenging infrastructure and data platform issues for both our open source users and enterprise customers. This can be anything from debugging network issues to architecting complex machine learning pipelines to troubleshooting Kubernetes and Docker. This role is perfect for engineers who love working directly with customers and prefer to witness success alongside the user first-hand.
 
In this role will own the responsibility for delivering the technical win at customer accounts. You will lead the technical pre-sales relationship, propose technical architectures, demonstrate the platform, anticipate concerns, and offer creative solutions. You goal is to build customer trust in Pachyderm which will result in customer success in the post-sale. 
 
This is mostly a pre-sales role role focused on maximizing value for our enterprise deployments, but will also include working with Support Engineering, engaging with prominent OSS users, and being part of our broader customer success org. You will help manage our customers through deployment, training, implementation of best practices, and ongoing troubleshooting. These projects can range from small projects at AI technology startups to fortune 100 enterprise implementations.
 
Additionally, this role is both HIGHLY technical and a skilled relationship builder. They will be comfortable showing an engaging communications experience to a CEO or sketching out a containerized infrastructure in Kubernetes and Docker. You will be part of the customer facing engineering team and thus an integral technical resource for sales. We are looking for someone who understands the value of the product, can answer technical questions, qualify the technical aptitude of potential sales opportunities, and be a trusted advisor. 
 
While you'll have direct access and support from our engineering team, you will also have ample opportunity to commit to the core Pachyderm codebase yourself. As an open source project, detailed GitHub issues are great, but PRs are pure gold!
 
While your primary focus will of course be driving the technical pre-sales process, you’ll also have direct exposure to users and enterprise customers via our open source support channels.  At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.
 
Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product. However, this also means that you will with customer support, help align on goals and KPI’s and contribute to customer success. In addition to Solutions Engineering, our first few hires in these roles will also be doing some Support and Implementation Engineering and Technical Account Management. We are currently looking for all three roles and as such, you are welcome to apply to one or more.  
 
Finally, please do feel free to check out the product on GitHub as it’s open source!
 
We offer significant equity, full benefits, and all the usual startup perks.

Qualifications

  • 5 plus years technical pre-sales experience selling complex, highly technical products.
  • Experience with Kubernetes or experience selling Kubernetes in a Containerized Infrastructure 
  • Experience selling B2B Enterprise Software
  • Hands-on, high-energy, passionate, and creative problem solver with know how to get things done and ability to lead others to success
  • Excellent communicator and presenter, able to gain audience confidence
  • Ability to build a deep understanding of a customer’s infrastructure and Data Science needs and guide them to a technical solution
  • Scripting experience in either Golang or Python
  • Previous software development experience in one or more of the following areas: Golang, Python, Java, C#, Node.js, PHP
  • Familiarity with cloud platforms (AWS, GCP, Azure) and cloud application architecture
  • Previous experience with CLI, cloud deployments, Authentication, and Security is a plus
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This Year

Documentation and Training Platform Engineer - Remote
python data science docker cloud api Jul 30
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto." Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data.  Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. 

As a open-source product with a vibrant community (2000+ members in our slack channel, 100+ contributors on GitHub), our product documentation, user resources, and product training platform are all fundamental pieces of our success.

We're looking for a Documentation Engineer to lead the implementation of a comprehensive docs strategy; creating content such as new tutorials, architectural diagrams, API docs, and training courses. This is a highly technical role that will require you use and teach our product, understand infrastructure tools such as Kubernetes and Docker and leverage all the various cloud platforms.

The ideal candidate is ex-engineer who loves teaching, creative problem solving, interacting with the community, and is an expert collaborator. While extensive programming experience is not a requirement, you will have the opportunity to do some development work with our docs infrastructure (mkdocs), training tutorial platform (katacoda), and building examples for webinars, conferences, and training videos.

Primary Job Responsibilities

  • Build and maintain our documentation infrastructure, web portal, and release process
  • Write documentation for new product features
  • Build how-to and training tutorials for Pachyderm, Data Science Workflows, Kubernetes, and Cloud infra best practices
  • Own and develop the Pachyderm Training Platform, Pachyderm Academy (should we call it PachAdemy?) including katacoda, training courses, youtube tutorial channel, and an eventual Pachyderm Certification process
  • Explore other data science products in the ecosystem (complementary and competitive) and help build integration PoCs
  • Define recommendations on content standards, needed improvements, and content gaps
  • Prioritize and document customer and user bugs to inform engineering efforts

Required Skills

  • 2+ years of engineering, development, and/or technical writing experience
  • Must be comfortable working with code, dev tools such as Docker as well as the terminal
  • Intermediate development experience in Python, R, or Go is considered a huge plus
  • A love for teaching, explaining concepts, and empowering users and other community members
  • A track record of producing timely, high quality, and relevant technical content
  • Ability to handle deadlines and remain highly organized while delivering multiple pieces of content at the same time
  • Team player, self-motivated and able to take ownership of assigned tasks
  • Must have strong writing, editing, organizational and communication skills, and meticulous attention to detail
  • Curious, enthusiastic learner who can translate technical concepts to a variety of audiences
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Front-End/Sr. Front-End Engineer - Remote
frontend javascript data science saas docker Jul 20
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto." Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data.  Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. 

The Role
 
Pachyderm is looking for a Javascript (React) developer to join our team building out the front-end of our enterprise product and hosted SaaS version of our open source software.
 
You'll be working closely with our systems engineering and design teams to ship a core product that will define the future of the business. Your main task with be developing the web application that will become the "face" of the product and one of the primary modes for data scientists to build/manage their data and pipelines.
 
You'll be building out JavaScript applications, reusable component libraries, and working closely with our design team to implement their new feature designs. You’d be the fourth member of our front-end team, so this role includes a ton of ownership and impact over the product direction. You'll be required to collaborate closely with other front-end and server-side engineers as well as take ownership over entire components of the product.
 
While your primary focus will be building the product, you’ll also have direct exposure to users and enterprise customers via our open source support channels.  At Pachyderm, open source user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.
 
The long and short of it is, if you're looking to make a big impact, on a small team, that works on open source software, and delivers an enterprise-grade product, then this role is for you. You can check out our product on github.
 
We offer significant equity, full benefits, and all the usual startup perks.

  • 2-4+ years of professional experience building modern Javascript applications working with tools such as React or Node. Bonus points if you've works on data-heavy web applications.
  • Experience with Docker and/or Kubernetes are a big plus
  • A solid understanding of standard web development workflows including Git, CI, and component testing.
  • Ability to plan and estimate tasks and then execute efficiently
  • Must have strong communication skills when talking about technical concepts.  You’ll need to be able to distill complex design decisions both internally and externally.
  • Entrepreneurial spirit with a passion for fast-paced, high growth companies
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Sr. Support & Implementation Engineer - Remote
golang python c data science machine learning linux Jun 26
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto." Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data.  Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. 

As a Sr. Support & Implementation Engineer at Pachyderm, you will be part of a small, elite, customer-facing engineering team (think Seal Team 6) devoted to solving challenging infrastructure and data platform issues for both our open source users and enterprise customers. This can be anything from debugging network issues to architecting complex machine learning pipelines to troubleshooting Kubernetes and Docker. This role is perfect for engineers who love working directly with customers and prefer to witness success alongside the user first-hand.

This is highly technical, mostly post-sales role focused on maximizing value for our enterprise deployments, but will also include working on PoCs, engaging with prominent OSS users, and being part of our broader customer success org. You will manage our customers through deployment, training, implementation of best practices, and ongoing troubleshooting. These projects can range from small projects at AI technology startups to fortune 100 enterprise implementations.
 
While you'll have direct access and support from our engineering team, you will also have ample opportunity to commit the core Pachyderm codebase yourself. As an open source project, detailed GitHub issues are great, but PRs are pure gold!

Your primary focus will be driving the support and implementation process, but you’ll also have direct exposure to our community of users via our open source support channels.  At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.
 
Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product. However, this also means that you will support pre-sales, help align on goals and KPI’s and contribute to customer success. In addition to Support Engineering, our first few hires in these roles will also be doing some pre-sales Solution Engineering and Technical Account Management. We are currently looking for all three roles and as such, you are welcome to apply to one or more.  
 
Finally, please do feel free to check out the product on GitHub as it’s open source!
 
We offer significant equity, full benefits, and all the usual startup perks.

Key Duties

  • Initiate project coordination with customer and internal team members
  • Install and configure the technical solution based on specific customer requirements
  • Understand customers’ requirements and their technical architecture
  • “Hand-hold” throughout planning, system deployment, training, and scaling
  • Establish effective communication protocols between Pachyderm and the Customer
  • Troubleshoot technical issues on configuration and product related issues
  • Ongoing support and ensuring technical success
  • Implementation work will mostly be remote, but occasional on-site time with the customer will be part of the job

Qualifications/Requirements

  • 3+ years in a Support, Professional Services, Implementation/Solutions or similar customer-facing engineering role
  • Must have an engineering background with hands-on experience with containerized infrastructure, including Kubernetes
  • Significant experience at the command line, navigating Linux systems, debugging, installing tools, etc
  • Strong debugging skills are a major need (grepping logs, stack traces, tracking down permission issues, etc)
  • Excellent communication skills and the ability to "hand hold" the customer through technical challenges
  • You are a self-starter, tech-savvy professional and it’s easy for you to understand a company’s business requirements and explain Pachyderm’s value and technical details to C-level executives, a technical guru and everything in between
  • Previous hands-on experience with AWS, Azure and/or GCP including deployments, security, authentication, etc. On-premise kubernetes deployment experience is great bonus!

Bonus Points

  • Previous experience in Professional Services supporting Enterprise customers in the Data Science/ML infrastructure space
  • You have experience using Pachyderm and/or other ML/Data Science platforms
  • Development experience in Golang, Python, C/C++ or similar is great too
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Sr. Professional Services Engineer - Remote
golang python c data science machine learning linux Jun 26
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto." Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data.  Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. 

As a Sr Professional Services Engineer at Pachyderm, you will be part of a small, elite, customer-facing engineering team (think Seal Team 6) devoted to solving challenging infrastructure and data platform issues for both our open source users and enterprise customers. This can be anything from debugging network issues to architecting complex machine learning pipelines to troubleshooting Kubernetes and Docker. This role is perfect for engineers who love working directly with customers and prefer to witness success alongside the user first-hand.

This is a highly technical, mostly post-sales role focused on maximizing value for our enterprise deployments, but will also include working on PoCs, engaging with prominent OSS users, and being part of our broader customer success org. You will manage our customers through deployment, training, implementation of best practices, and ongoing troubleshooting. These projects can range from small projects at AI technology startups to fortune 100 enterprise implementations.
 
While you'll have direct access and support from our engineering team, you will also have ample opportunity to commit the core Pachyderm codebase yourself. As an open source project, detailed GitHub issues are great, but PRs are pure gold!

Your primary focus will be driving the support and implementation process, but you’ll also have direct exposure to our community of users via our open source support channels.  At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.
 
Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product. However, this also means that you will support pre-sales, help align on goals and KPI’s and contribute to customer success. In addition to Support Engineering, our first few hires in these roles will also be doing some pre-sales Solution Engineering and Technical Account Management. We are currently looking for all three roles and as such, you are welcome to apply to one or more.  
 
Finally, please do feel free to check out the product on GitHub as it’s open source!
 
We offer significant equity, full benefits, and all the usual startup perks.

Key Duties

  • Initiate project coordination with customer and internal team members
  • Install and configure the technical solution based on specific customer requirements
  • Understand customers’ requirements and their technical architecture
  • “Hand-hold” throughout planning, system deployment, training, and scaling
  • Establish effective communication protocols between Pachyderm and the Customer
  • Troubleshoot technical issues on configuration and product related issues
  • Ongoing support and ensuring technical success
  • Implementation work will mostly be remote, but occasional on-site time with the customer will be part of the job

Qualifications/Requirements

  • 3+ years in a Support, Professional Services, Implementation/Solutions or similar customer-facing engineering role
  • Must have an engineering background with hands-on experience with containerized infrastructure, including Kubernetes
  • Significant experience at the command line, navigating Linux systems, debugging, installing tools, etc
  • Strong debugging skills are a major need (grepping logs, stack traces, tracking down permission issues, etc)
  • Excellent communication skills and the ability to "hand hold" the customer through technical challenges
  • You are a self-starter, tech-savvy professional and it’s easy for you to understand a company’s business requirements and explain Pachyderm’s value and technical details to C-level executives, a technical guru and everything in between
  • Previous hands-on experience with AWS, Azure and/or GCP including deployments, security, authentication, etc. On-premise kubernetes deployment experience is great bonus!

Bonus Points

  • Previous experience in Professional Services supporting Enterprise customers in the Data Science/ML infrastructure space
  • You have experience using Pachyderm and/or other ML/Data Science platforms
  • Development experience in Golang, Python, C/C++ or similar is great too
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Solutions Architect - Remote
golang python c data science machine learning linux Jun 26
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto." Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data.  Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. 

As a Solutions Architect at Pachyderm, you will be part of a small, elite, customer-facing engineering team (think Seal Team 6) devoted to solving challenging infrastructure and data platform issues for both our open source users and enterprise customers. This can be anything from debugging network issues to architecting complex machine learning pipelines to troubleshooting Kubernetes and Docker. This role is perfect for engineers who love working directly with customers and prefer to witness success alongside the user first-hand.

This is a highly technical, mostly post-sales role focused on maximizing value for our enterprise deployments, but will also include working on PoCs, engaging with prominent OSS users, and being part of our broader customer success org. You will manage our customers through deployment, training, implementation of best practices, and ongoing troubleshooting. These projects can range from small projects at AI technology startups to fortune 100 enterprise implementations.
 
While you'll have direct access and support from our engineering team, you will also have ample opportunity to commit the core Pachyderm codebase yourself. As an open source project, detailed GitHub issues are great, but PRs are pure gold!

Your primary focus will be driving the support and implementation process, but you’ll also have direct exposure to our community of users via our open source support channels.  At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.
 
Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product. However, this also means that you will support pre-sales, help align on goals and KPI’s and contribute to customer success. In addition to Support Engineering, our first few hires in these roles will also be doing some pre-sales Solution Engineering and Technical Account Management. We are currently looking for all three roles and as such, you are welcome to apply to one or more.  
 
Finally, please do feel free to check out the product on GitHub as it’s open source!
 
We offer significant equity, full benefits, and all the usual startup perks.

Key Duties

  • Initiate project coordination with customer and internal team members
  • Install and configure the technical solution based on specific customer requirements
  • Understand customers’ requirements and their technical architecture
  • “Hand-hold” throughout planning, system deployment, training, and scaling
  • Establish effective communication protocols between Pachyderm and the Customer
  • Troubleshoot technical issues on configuration and product related issues
  • Ongoing support and ensuring technical success
  • Implementation work will mostly be remote, but occasional on-site time with the customer will be part of the job

Qualifications/Requirements

  • 3+ years in a Support, Professional Services, Implementation/Solutions or similar customer-facing engineering role
  • Must have an engineering background with hands-on experience with containerized infrastructure, including Kubernetes
  • Significant experience at the command line, navigating Linux systems, debugging, installing tools, etc
  • Strong debugging skills are a major need (grepping logs, stack traces, tracking down permission issues, etc)
  • Excellent communication skills and the ability to "hand hold" the customer through technical challenges
  • You are a self-starter, tech-savvy professional and it’s easy for you to understand a company’s business requirements and explain Pachyderm’s value and technical details to C-level executives, a technical guru and everything in between
  • Previous hands-on experience with AWS, Azure and/or GCP including deployments, security, authentication, etc. On-premise kubernetes deployment experience is great bonus!

Bonus Points

  • Previous experience in Professional Services supporting Enterprise customers in the Data Science/ML infrastructure space
  • You have experience using Pachyderm and/or other ML/Data Science platforms
  • Development experience in Golang, Python, C/C++ or similar is great too
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Distributed Systems Engineer - Remote
golang data science docker backend Jun 04
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto."

The Role

Love Docker, Golang, and distributed systems?

Pachyderm is hiring distributed systems engineers to help us build out the core product -- a distributed version-controlled filesystem and data processing engine. You’ll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform.

While your primary focus will of course be building the core product, you’ll also have direct exposure to users and enterprise customers via our open source support channels.  At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.

Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product.  You can of course check out the product on GitHub because it’s open-source.

We offer significant equity, full benefits, and all the usual startup perks.

Qualifications

  • 2+ years of experience working in distributed systems, data infrastructure, back-end systems or related development work.
  • Major contribution to prominent and related open-source projects are a plus or can be a replacement for work experience in some circumstances (e.g. You’ve been a student just finishing your degree)
  • While it is a bonus, experience with Golang is not a strict requirement. Programming languages are just part of your arsenal and we’ve found that great engineers have no problem learning new tools.
  • Must have strong communication skills when talking about technical concepts. Our interview process strongly tests for communication as we have a very collaborative work environment where many parts of the codebase interact in complex ways.
  • Things change quickly as our product develops and breaking down major features into smaller and more easily executable PRs is an imperative skill.

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Senior DevOps Engineer - Remote
devops senior golang data science docker cloud Jun 04
About Pachyderm

At Pachyderm, we're building an open-source enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. If you want to learn more about our grand vision, read what has become our "manifesto."

The Role

Love Go, Kubernetes, cloud deployment, and automation?

Pachyderm is hiring a DevOps expert to be a senior member our team to help improve infrastructure, deployment, and testing processes. Pachyderm has a rapidly-growing engineering team and we're long overdue for some major improvements to our internal infra and engineering methodologies. Your major projects will include:

- Develop our internal Go backend for the hosted platform
- Manage and maintain internal Kubernetes clusters and hosted Pachyderm clusters
- Optimize Pachyderm's CI to improve our development workflow and increase developer velocity.
- Develop Pachyderm's internal testing/benchmarking framework (probably in Go) to perform large-scale benchmarks on a regular cadence.
- Improve, test, script, and document the multitude of deployment options for Pachyderm's core product including all cloud providers and various permutations of on-prem k8s and object stores.
- Build standard monitoring, logging, and deployment (e.g. Helm chart) packages so that Pachyderm users can get up and running faster
- Work closely with our front-end, backend, and systems team to improve hosted cluster stability and uptime.

While your primary focus will be building and maintaining various internal systems, you'll also have the opportunity to contribute to the core product and work directly with users/customers who have complex deployment environments. At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.

Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product.  You can of course check out the product on GitHub.

We offer significant equity, full benefits, and all the usual startup perks.

Qualifications

  • Some Golang or other programming experience is required. While much of the job is automation and scripting, our testing frameworks, product backend, and internal automation work (e.g. k8s operators/CRDs) are all written in Go.
  • 4+ years of experience building, maintaining, and automating distributed systems, data infrastructure, back-end systems or related infrastructure.
  • Expertise running and managing Kubernetes and Docker in one or more cloud providers, preferably as part of a large-scale, enterprise-class product related to storage, processing, networking and/or virtualization
  • Expertise running and managing build, test, and release processes for 10+ person engineering orgs
  • Must have strong communication skills when talking about technical concepts. Our interview process strongly tests for communication as we have a very collaborative work environment where many parts of the codebase interact in complex ways.
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