Senior Open Source Infrastructure Engineer

Who we are

Quansight has its roots in the Python data science community. Our founders have had significant involvement in creating and maintaining NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, and other projects, as well as PyData NumFOCUS, and Anaconda. 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.

Who We Are 

Quansight is rooted in the Python and PyData ecosystems. Our founders and team have had significant involvement in creating and maintaining projects such as CPython, NumPy, SciPy, Jupyter, Conda, Numba, and others. Our team of open-source maintainers, developers, and designers contributes to over 35 projects fundamental to scientific computing and data science.

Our mission is to make open-source software accessible, sustainable, and community-driven. We work with enterprise customers across industries to help them build effectively on open source, while ensuring their involvement strengthens the communities and projects they depend on. At Quansight, commercial success and community health go hand in hand.

We lead with transparency and accountability, work in the open, and trust each other to own outcomes. We actively seek diverse perspectives and start every collaboration by listening first.

The Role

Quansight is looking for a full-time remote Senior Infrastructure Engineer to join our team of open-source experts and software engineering professionals. This is a high-ownership, high-autonomy role where you will apply core infrastructure engineering principles such as scalability, observability, reliability, and automation across both internal systems and client engagements. 

You will own Quansight's internal cloud infrastructure while serving as the technical lead on client-facing infrastructure engagements, helping clients design, implement, and maintain reliable, scalable solutions. You will also be expected to transfer knowledge to client teams so they can own what you build. This role suits someone comfortable moving between internal operations and external delivery, building systems that outlast their own involvement.

Active participation in open-source communities, as a maintainer or contributor, is a core part of this position. In line with our commitment and approach to open source, the successful candidate will be allocated between 40 and 50 per cent of their structural time to continue contributing to and maintaining existing open-source infrastructure projects.

In This Position, You'll Get To

• Own and evolve Quansight's cloud infrastructure across AWS, Azure, and GCP, ensuring reliable day-to-day operation.
• Build, deploy, and maintain internal dashboards and reporting for operations and project management, including documentation of the systems architecture.
• Lead infrastructure engagements for clients from scoping and architecture through delivery, upskilling client teams on the practices and tooling they need to maintain what you build.
• Contribute to open-source projects and participate in upstream communities. 
• Mentor teammates on infrastructure practices and contribute to Quansight's technical presence in the wider community (talks, RFCs, upstream reviews).

Position Requirements

• 5+ years of experience in infrastructure, DevOps, or platform engineering.
• Open-source experience as a maintainer or sustained contributor; this role comes with structural time allocated to open-source maintenance.
• Ability to independently scope, architect, and execute infrastructure projects end-to-end, while knowing when to seek feedback and input.
• Production experience across at least two of AWS, Azure, and GCP, with working familiarity across all three.
• Strong proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation, and experience managing containerized workloads on Kubernetes, including Helm chart development.
• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI/CD, CircleCI, or equivalent).
• Hands-on experience with observability tooling such as Prometheus, Grafana, and/or the ELK/OpenSearch stack, and familiarity with cloud security best practices, including secrets management, IAM/RBAC, and pipeline security scanning.
• Proficiency in Python or another general-purpose language for scripting and automation.
• Client-facing experience: translating requirements into infrastructure designs, communicating technical decisions to non-technical stakeholders, and managing expectations.
• Fluency with Git and GitHub for version control, code review, and asynchronous collaboration across a distributed remote team.
• Ability to constructively receive and act on feedback.

Bonus Points

• Experience with GitOps workflows and tools such as ArgoCD or Flux.
• Experience with data science workflows, platforms, data management practices and MLOps.
• Experience with configuration management tools such as Ansible. 
• Experience with SQL and database management. 
• Familiarity with the PyData ecosystem. 
• Experience deploying AI/ML workloads in production - GPU orchestration on Kubernetes, model-serving frameworks (KServe, Ray Serve, vLLM, Triton), or LLM inference infrastructure. 

Where can we hire?

We can hire worldwide, and our team is entirely remote. We are, however, looking for candidates with time overlap with U.S. and European time zones, where most of our clients are based. 

Candidate Journey

• Application: A recruiter will review your application and reach out if your experience aligns with the role.
• HR Interview: A 30-minute Google Meet to get to know each other, hear about your background, and answer your questions about the team and mission.
• Self-contained take-home test: small, practical take-home test (this should take no longer than 2 hours and will be used throughout the technical interview process)
• Interview Loop: Two 1:1 interviews: one with the hiring manager and one with Quansight team members. Following the loop, the recruiter will share the outcome and, if moving forward, discuss the offer.

Commitment to diversity, equity, inclusion, and belonging

Quansight strongly encourages applications from everyone, including members of all equity-seeking communities such as women, racialized and Indigenous persons, disabled people, and persons of all sexual orientations, gender identities, and expressions. We believe diverse perspectives make us stronger.

We are an equal opportunity employer. All qualified applicants will receive equal consideration regardless of race, religion, gender identity, national origin, disability, sexual orientation, age, veteran status, or any other basis protected by applicable law.

Why should you join?

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, a comprehensive sick policy and parental leave, and a generous amount of flexible paid time off. If you are located in the United States, Canada, Germany or the UK we also offer a comprehensive benefits package.

Where can we hire?

Our engineering team is entirely remote. Our headquarters are in Austin, Texas, and our team is globally distributed with a significant presence in the United States, 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 belonging

Quansight 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.