The Mission AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms-like Snowflake, Databricks, and Google BigQuery and the business users who need consistent, AI-ready analytics. We are looking for a DevOps Engineer to help us redefine how the world handles business intelligence.
The Impact You'll Make
In this role, you will:
- Provision and manage test and development environments for engineering and QA, including on-demand environments.
- Design and maintain site-to-site connectivity across AWS, Azure, GCP, and OVH, including VPN tunnels, routing, and DNS.
- Build and deploy infrastructure across AWS, Azure, GCP, and OVH, including Proxmox-based virtualization.
- Design, implement, and manage Kubernetes clusters, using ArgoCD for GitOps-driven deployments.
- Build, host, and maintain internal tools and services, as well as PostgreSQL databases backing internal services.
- Maintain and improve CI/CD pipelines to cut build and deploy times and remove friction for developers.
- Manage infrastructure as code with Terraform.
- Run observability on the Grafana stack and troubleshoot performance and availability issues.
- Support internal authentication and SSO integrations (SAML, OIDC, OAuth2).
- Apply security best practices across infrastructure, support compliance efforts, and automate operational tasks to reduce manual toil.
- Work closely with development, QA, and product teams.
Why You'll Love It Here
- Ownership & Autonomy: You thrive as an individual contributor, owning your outcomes and driving real change.
- Innovation-First: Work at the intersection of AI and data at a company hitting its next major inflection point.
- Culture of Trust: Enjoy a flexible, remote-friendly environment built on transparency and professional growth.
Who You Are
- You are comfortable in fast-paced environments where priorities can shift quickly.
- You value quality over speed and are curious about using AI to improve efficiency.
- You have 5+ years of experience in a DevOps, SRE, or infrastructure engineering role.
- You hold a BA/BS in a technical or engineering discipline, or equivalent experience.
- You have strong networking fundamentals (VPCs, subnets, CIDR planning, routing, firewalls, and DNS) and hands-on experience with site-to-site VPNs (IPsec or WireGuard) across multi-cloud environments (AWS, Azure, GCP, OVH).
- You bring strong Linux administration skills, including self-managed hosts and hypervisors (Proxmox, KVM, or similar).
- You have deep Kubernetes experience (EKS, AKS, GKE, or self-managed), alongside proficiency with Docker, Helm, ArgoCD, and Terraform.
- You have experience building and maintaining CI/CD pipelines, ideally with GitHub Actions.
- You possess solid programming ability in Python or Go to build small internal services, paired with strong Bash scripting skills.
- You have working knowledge of Grafana and Prometheus-style monitoring, PostgreSQL databases, SSO integrations (SAML, OIDC, OAuth2), and system security best practices.
- You are based in or able to work East Coast (ET) hours.
The Perks
- Competitive salary + equity.
- Unlimited PTO and comprehensive benefits.
- The chance to shape the future of a global leader in AI-ready analytics.
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