Serve Robotics

Meet the future of sustainable, self-driving delivery.

Lead Software Engineer, Data Infrastructure and Analytics

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 51-200Since 2017H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

169 days ago

Salary

$180K - $230K / year

8 yrs expEnglishBig QueryCloudDistributed SystemsDockerETLGoogle Cloud PlatformIo TKubernetesPythonGo

Job Description

• Design and scale systems that power Serve’s robotics data platform • Own the lifecycle of robot and cloud data and set technical direction for data infrastructure • Define and own the technical roadmap for the data infrastructure platform and make key architectural decisions • Develop and maintain the resilient data offload system to meet SLAs and optimize depot bandwidth • Drive creation of a centralized cloud Orchestrator service to manage bandwidth, prioritize data events, and coordinate offload activities across the fleet • Build and maintain analytics pipelines to ingest and transform robot metrics into queryable tables (e.g., BigQuery) and analytics-ready models using tools like dbt • Implement system resiliency and monitoring, including automatic rollover and data integrity verification • Mentor engineers, foster best practices in system design, coding, and operational excellence • Enable real-time robotics operations and analytics at scale

Job Requirements

  • 8+ years of professional software engineering experience
  • At least 2 years in a technical leadership or lead engineer role
  • Experience building large-scale distributed systems handling petabytes of data per day
  • Proficiency in at least one of Python, Go, or C++
  • Proven experience building and operating large-scale, distributed data systems on a major cloud platform (GCP experience is preferred: GCS, BigQuery, Pub/Sub, Dataflow, etc.)
  • Deep understanding of data processing, ETL/ELT, networking principles, and I/O optimization
  • Strong architectural skills to design scalable, reliable, and maintainable systems
  • Demonstrated ability to lead technical projects from conception to production
  • Excellent mentorship skills and passion for growing team capabilities
  • Strong communication skills and ability to drive alignment across multiple teams
  • Experience in robotics, IoT, or similar field involving data offload from fleets of edge devices (preferred)
  • Hands-on experience with data transformation and modeling tools like dbt (preferred)
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes) (preferred)
  • Experience designing systems resilient to network failures and other real-world interruptions (preferred)

Benefits

  • Offers Equity
  • Remote work (USA (remote); Ottawa (remote), Toronto (remote), British Columbia (remote), Montreal (remote))

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