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Staff Backend Software Engineer

Lead design and delivery of large-scale Node.js backend services and microservices on AWS. Own Tier-1 marketplace systems, mentor engineers, drive architecture and operational excellence.

About the job

What You’ll Do

Technical Leadership: Lead the design and implementation of large-scale, high-performance backend systems and microservices using Node.js.

Best Practices: Drive the adoption of modern software development practices, including automated testing, conduct code reviews, CI/CD pipelines, and infrastructure-as-code.

Cloud Architecture: Architect, maintain and monitor robust, scalable and reliable services on AWS, leveraging services like EKS, MSK (Kafka), and S3.

Mentorship: Mentor other backend engineers and provide technical guidance to elevate the skill level of the entire team.

Incident Management: Lead the response and resolution for complex production incidents, perform root cause analysis, and implement preventative measures.

Collaboration: Work closely with cross-functional teams, including product managers, DevOps, and front-end engineers, to deliver timely, high-quality and performing end-to-end solutions.

The Skills and Experience You’ll Bring

  • 10+ years of experience in backend software development, including significant time as a senior or staff engineer owning complex, high‑throughput production services.
  • Deep Node.js/TypeScript expertise, building and operating Express (or similar) HTTP APIs at scale.
  • Proven experience owning Tier‑1, customer‑facing transaction systems (e.g., posting, booking, marketplace flows) with strict availability, correctness, and latency expectations.
  • Extensive AWS experience with production backends, ideally including EKS/Kubernetes, Lambda, MSK/Kafka, DocumentDB or MongoDB, and Secrets Manager/S3/CloudWatch, plus infrastructure‑as‑code (Terraform or similar).
  • Strong background in event‑driven and distributed systems using Kafka/MSK.
  • Expertise with document databases especially DocumentDB/MongoDB.
  • Hands‑on experience with zero/low‑downtime migrations.
  • Strong understanding of microservice and API contracts.
  • Fluency with observability and on‑call health, designing dashboards, APM traces, logs, and alerts; defining SLOs; and using these tools to drive down incident frequency and MTTR.
  • Experience establishing and raising engineering standards for a team: PR and testing guidelines (unit/contract/integration/smoke/end-to-end), deployment validation checklists, and post‑incident review practices.
  • Demonstrated technical leadership: leading cross‑team designs in ambiguous problem spaces, writing clear system design documents, operations runbooks, and driving alignment across Engineering, Product, and Operations.
  • Proven mentoring track record, especially helping mid‑level engineers grow in system design, observability, and operational excellence.
  • Excellent communication skills, with the ability to explain trade‑offs and system behavior clearly to engineers, product managers, and non‑technical stakeholders.

Compensation and Benefits

  • Medical, Dental, Vision, Life, and AD&D insurance
  • Parental Leave
  • Flexible Vacation Time (FVT)
  • An additional 10 holidays of paid time off per calendar year
  • 401k matching (immediately vested)
  • Employee Stock Purchase Plan
  • Short- and Long-term disability sick leave
  • Flexible Spending Accounts
  • Health Savings Accounts
  • Employee Assistance Program
  • Additional programs - Employee Referral, Internal Recognition, and Wellness
  • Free TriMet transit pass (Beaverton Office)
  • Competitive salary and benefits package
  • Work on impactful projects in a cutting-edge environment
  • Collaborative and supportive team culture
  • Opportunity to make a real difference in the trucking industry
  • Employee Resource Groups

For Colorado-based candidates, the salary range for this role is $172,000.00 - $223,000.00 + target bonus.

Skills

Node.js, TypeScript, Express, AWS, EKS, Kubernetes, Kafka, Msk, MongoDB, Documentdb, Terraform, CI/CD, Observability

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