dbt Labs

dbt Labs

Senior Platform Software Engineer, Transport

US - Remote · Senior

Sponsorship not specified$147k-$178kDetected 63 days ago
PythonGoDistributed SystemsBackend DevelopmentAWSGCPAzureCloud PlatformsDockerKubernetesTerraformNginxPlatform EngineeringdbtRecruitingCustomer SupportDNSLoad BalancingCommunicationProblem Solving

About the role

  • We're backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.
  • Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process.
  • Even if your experience doesn't perfectly align with the job description, we encourage you to apply-we value potential just as much as a perfect resume.

Responsibilities

  • Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.
  • Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.
  • 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.
  • Interview with a Talent Acquisition Partner (30 Mins)

Requirements

  • 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).
  • 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.
  • Compensation & 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
  • Benefits - dbt Labs offers:
  • Unlimited vacation (and yes we use it!)
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid Parental Leave

Nice to have

  • Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.
  • 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.
  • 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.

Skills

  • Reliable, high-quality data is the fuel that propels AI-powered data engineering.
  • AI is changing data work, fast. dbt's data control plane keeps data engineers ahead of that curve.

Compensation

  • We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.
  • 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 in the select locations listed is:
  • The typical starting salary range for this role is: $147,000 - $178,000 USD
  • 401k w/3% guaranteed contribution
  • Our Hiring Process (All Video Interviews)

Company info

  • dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
  • As of February 2025, we've surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
  • We're backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
  • dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights.
  • Since 2016, we've grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
  • At our core, we believe in empowering data practitioners:
  • We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
  • dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world.
  • And we're just getting started..
  • We're growing fast and building a team of passionate, curious people across the globe.
  • Learn more about what makes us special by checking out our values.

Equal opportunity

  • dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences.

This listing is sourced directly from dbt Labs's careers page and normalized into a canonical job model.