Infrastructure Engineer

The Senior Infrastructure Engineer will manage Quansight's cloud infrastructure, lead client engagements, and ensure reliable and automated systems, all while participating actively in open-source projects., 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. 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 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., Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics The role involves designing and operating a resilient Wallet platform, working with cloud-native services, APIs, and ensuring platform stability with performance standards and incident response. Top Skills: Ai ToolsCi/CdGraphQLInfrastructure As CodeJavaKubernetesRest Airwallex, Artificial Intelligence * Fintech * Payments * Business Intelligence * Financial Services * Generative AI As a Senior Software Engineer, you will design and implement AI agents to automate DevOps and DBA workflows, ensuring agents operate safely and effectively in real infrastructure environments. Top Skills: AWSCloud ApisGCPGoJavaKotlinKubernetesPythonTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Required

• 5+ years of experience in infrastructure, DevOps, or platform engineering.
• Open-source experience as a maintainer or sustained contributor. We are an open-source company and prefer candidates who are committed to open source.
• 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 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, 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.

• Salary Range: $120,000 - $170,000 (dependent on candidate location and experience level)
• Remote Work: 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.
• Bonus Potential
• Full Benefits Package

Candidate Journey

• Application: A recruiter will review your application and reach out if your experience aligns with the role.
• Talent Acquisition 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.
• Interview Loop: Three 1:1 interviews: one with the hiring manager and two with engineering 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?

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 EngineerWho 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.