Open Source Infrastructure Engineer
Job Description
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 seeking a fully remote, experienced Open Source Infrastructure Engineer to join our team at Quansight. In this role you will support Quansight’s growing cloud and on-premises infrastructure as well as act as a support resource for internal and client hosted systems. 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.
In this position, you'll get to
- Contribute to Nebari (https://nebari.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.
- Develop and manage scalable data science deployments on cloud and on-premise including conda environments, infrastructure, and JupyterHub’s ecosystem of services.
- Develop and manage Quansight hosted services such as discourse, QHub and help to organize our many existing cloud projects and client accounts.
- Collaborate with a fully remote distributed service teams that use asynchronous methods of communication
- 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.
- Comfortable working independently and reaching out for feedback and support as needed.
- Comfortable working on multiple projects at once.
- Ability to provide and constructively receive feedback.
- Willing to work in a US Central Time zone.
Additionally one or more of the following skills will help you stand out
- Experience working on geographically distributed open-source projects.
- Exposure to the Python data-science stack - Pandas, Numpy, Dask etc
- Experience with Kubernetes
- Experience building and maintaining continuous deployment pipelines.
- Experience with common data science methods, platforms, workflows, and infrastructures; with data management systems, practices, and standards; and the capacity to gain familiarity with new related topics.
You'll become essential to a small, collaborative, fully distributed accessibility and 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 and builds upon these principles.
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 parental leave, and flexible paid time off.
Where applicable, if you are located outside the United States, we will work with you to get similar benefits according to your geographical context.
Where can we hire?Our engineering team is entirely remote. Our headquarters are in Austin, Texas, and a good portion 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, and belongingQuansight understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches 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, racialized and Indigenous persons, disabled people, 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 will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.
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Date Posted
06/24/2023
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