Senior Cloud Infrastructure/Devops Engineer

Who we are

Our company has its roots in the Python data science community. Our leaders have had significant involvement in the creation and maintenance of NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, Anaconda and PyData NumFOCUS. Our mission is to connect companies to open-source communities to create sustainable solutions that benefit the whole ecosystem.

We accomplish this mission by providing various services ranging from open-source software development to training and consulting. We believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others.

We are looking for enthusiastic and highly motivated Software Engineers with solid DevOps experience to help support Quansight’s growing cloud and on-prem infrastructure as well as act as a support resource for internal and client hosted systems. We are hiring at both junior and senior engineer levels.

What you’ll do

As a Cloud Infrastructure Engineer, you will be responsible for working with infrastructure deployed on AWS, GCP, Digital Ocean, Azure and in some cases on-premises. These deployments will range from cloud kubernetes deployments of JupyterHub and Dask gateway to on-premises hpc clusters. At Quansight we strive to make these deployments reproducible and testable thus we use common infrastructure as code tooling like terraform, vagrant, helm, and ansible.  All of our deployments revolve around data science workflows which use conda environments, JupyterHub, JupyterLab, and Dask. Your work will enable teams to do computations on large datasets. Working as a cloud infrastructure engineer, you will regularly use unix skills such as file permissions, managing file systems, networking, and user management. 

Responsibilities

  • Contributing to QHub (https://qhub.dev), an open source tool for deploying JupyterHub, Dask and other tools from PyData ecosystem on to Cloud or on-premise via Infrastructure as code.
  • Developing and managing scalable data science deployments on cloud and on-premise including conda environments, infrastructure, and JupyterHub’s ecosystem of services.
  • Developing and managing Quansight hosted services such as discourse, QHub and helping to organize the many existing cloud projects and client accounts that Quansight works with.

Requirements:

  • Experience using some form of infrastructure-as-code tooling (i.e. Ansible, Salt, Puppet, Terraform etc)
  • Experience with at least one major cloud platform (AWS, Azure, GCP)
  • Comfort with at least one dynamic high-level programming language, preferably Python.
  • Familiarity with software engineering best practices – including unit tests, code review, version control, production monitoring, CI/CD etc.

Additionally one or more of the following skills will help you stand out

  • Exposure to the Python data-science stack - Pandas, Numpy, Dask etc
  • Experience with Python packaging and conda environments
  • Experience with Kubernetes
  • Experience deploying JupyterHub

The base salary range represents the low and high end of our salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and skill level. The range listed is just one component of our total compensation package. Additional compensation may include quarterly bonuses and stock options.

Base Salary Range  60,000 USD - 150,000 USD per year

Why You Should Join

You’ll become an essential part of a small, collaborative, fully distributed engineering team. We strive to provide a working environment that gives you room to learn and grow.

Quansight draws from experience in many large open source communities over the years. Because these communities operate remotely and strive to be as inclusive and participatory as possible, they must also strive to be more transparent and systematic in communicating, sharing information, and working. We are building a culture at Quansight that follows these principles and builds upon them.

We offer flexibility in work times and locations, and vacation time is not just encouraged but celebrated and enforced.

We offer competitive compensation and a comprehensive benefits package, including medical, vision, dental, 401K, a comprehensive sick policy, and flexible paid time off for full-time salary based employees.

Where applicable, if you are located outside of the United States, we will work with you to get similar benefits according to your geographical context.

Where We Can Hire

Our engineering team is entirely remote. We are headquartered in Austin, Texas, and the majority of our team is U.S. based. We also have a significant presence in Europe, South America, and Asia. We will consider applicants anywhere (overlap with U.S. and Europe time zones is preferred).

Commitment to Diversity, Equity, Inclusion, & Belonging

Quansight understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialised and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Quansight Labs will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.

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Posted: July 29, 2022

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