dbt Labs - Senior Platform Software Engineer, Transport
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Requirements
• 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. • Are an experienced backend or platform engineer • 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). • Have deep expertise in modern cloud infrastructure • Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability. • Thrive at the intersection of product and infrastructure • 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. • Bring familiarity with cloud networking concepts • 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. • Take strong ownership of your work from end-to-end • Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries. • Are a proactive and collaborative communicator • Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations. • Direct experience with cell-based or multi-tenant architectures • A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers. • A proven track record of building internal developer platforms • Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations. • Hands-on experience with cloud networking tools • Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization. • Deep expertise in multi-cloud strategies • Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust. • Advanced proficiency with our core technologies • 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. • Advanced industry certifications • 5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications. • 5+ years of professional software engineering experience, • 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. • A Bachelor's degree in Computer Science or a related technical field is preferred,
Responsibilities
• 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. • Architect and build platform infrastructure: • Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale. • Drive seamless migrations: • Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust. • Develop scalable backend services: • 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. • Tackle cloud networking challenges: • 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. • Automate for scale: • Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers. • Collaborate and mentor: • 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. • Own and troubleshoot:
Benefits
• Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below. • The typical starting salary range for this role is: $147,000 - $178,000 USD • The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US • Equity Stake • Unlimited vacation (and yes we use it!) • 401k w/3% guaranteed contribution • Excellent healthcare • Paid Parental Leave • Wellness stipend • Equity or comparable benefits may be offered depending on the legal limitations • Our Hiring Process (All Video Interviews) • Interview with a Talent Acquisition Partner (30 Mins) • Technical Interview with Hiring Manager (60 Mins) • Team Interviews with Cross Collaborators ( 4 rounds, 45 Mins each) • Final Values Interview (30 Mins)
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