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 role. You will be the primary infrastructure engineer at the company, scoping, architecting, and executing with a high degree of autonomy. You will apply core infrastructure engineering principles, scalability, observability, reliability, and automation across both internal systems and client engagements. Active participation in open-source communities, as a maintainer or sustained contributor, is a core part of this position. You will own Quansight's internal cloud infrastructure while serving as technical lead on client-facing infrastructure engagements, helping clients design, implement, and sustain reliable and 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.
Key Responsibilities
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 documenting systems architecture.
Lead infrastructure engagements for clients from scoping and architecture through delivery, upskilling client teams on the practices and tooling they need to sustain what you build.
Contribute to open-source projects and participate in upstream communities.
Collaborate proactively with a fully distributed team and mentor teammates on infrastructure-related work.
Required Qualifications
5+ years of experience in infrastructure, DevOps, or platform engineering.
Open-source experience as a maintainer or sustained contributor.
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 (Actions, GitLab CI/CD, CircleCI, or equivalent).
Hands-on experience with observability tooling such as Prometheus, Grafana, and 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 for version control, code review, and asynchronous collaboration across a distributed remote team.
Ability to constructively receive and act on feedback.
About Quansight
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.
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