dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As a Senior Platform Software Engineer, you'll tackle complex distributed systems problems and collaborate across product engineering, security, and infrastructure teams to enhance the reliability and scalability of the platform.
Responsibilities:
- Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels
- Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles
- Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale
- Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust
- Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments
- Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform
- Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers
- Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability
Requirements:
- 5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications
- A Bachelor's degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered
- Worked asynchronously as part of a fully-remote, distributed team
- Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems
- Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform)
- Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability
- Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies — or have a strong desire to learn and grow in this domain
- Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects
- Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries
- Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations
- A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers
- Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations
- Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization
- Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust
- Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects