[Hiring] Senior Infrastructure Engineer @Quansight

Role Description

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.

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.
• Production experience across at least two of AWS, Azure, and GCP.
• Strong 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.
• Ability to constructively receive and act on feedback.

Requirements

• 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.

Benefits

• 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.
• 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.

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.
• 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).