Quansight
Open-source software development
SeniorInfrastructureEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Infrastructure Engineer at Quansight. Skills: Cloud infrastructure management (AWS, Azure, GCP), Infrastructure-as-code (Terraform, Pulumi, CloudFormation), Containerization and orchestration (Kubernetes), CI/CD pipeline development, Observability tooling (Prometheus, Grafana, ELK/OpenSearch), Python scripting and automation, Open-source contribution and maintenance. Own and evolve Quansight's cloud infrastructure across AWS, Azure, and GCP. Ensure reliable day-to-day operation of interna”
What You'll Achieve.
Ensure reliable day-to-day operation of internal cloud infrastructure; Build systems that outlast their own involvement; Strengthen communities and projects clients depend on
Industry & Context.
Time overlap with U.S. and European time zones is preferred
What They're Looking For.
Must Have
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, Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation, 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 the ELK/OpenSearch stack, 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
Nice to Have
Experience with GitOps workflows and tools such as ArgoCD or Flux, Experience with data science workflows, platforms, and data management practices, MLOps platforms and infrastructure, Experience with configuration management tools such as Ansible, Experience working with geographically distributed teams, 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
What You'll Do.
Own and evolve Quansight's cloud infrastructure across AWS
Ensure reliable day-to-day operation of internal cloud infrastructure
and maintain internal dashboards and reporting for operations and project management
Document systems architecture
Lead infrastructure engagements for clients from scoping and architecture through delivery
Upskill client teams on infrastructure practices and tooling
Contribute to open-source projects and participate in upstream communities
Collaborate proactively with a fully distributed team
Mentor teammates on infrastructure-related work
and execute infrastructure projects with a high degree of autonomy
How You'll Work.
Team & Collaboration
Collaborate proactively with a fully distributed team; Mentor teammates on infrastructure-related work; Asynchronous collaboration across a distributed remote team; Start every collaboration by listening first
Communication Scope
Communicating technical decisions to non-technical stakeholders
Process & Methodology
Scoping infrastructure projects, Architecting infrastructure projects, Executing infrastructure projects
Full Job Description
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. Quansight Senior Infrastructure Engineer 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 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 engineer
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