Engineering Manager – Carrier Data Platform Cloud Migration

DAT Freight Solutions

Portland (OR)

Hybrid

USD 190,000 - 226,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision insurance
Parental Leave
Flexible Vacation Time
401k matching
Stock Purchase Plan
Transit benefits

Job summary

DAT Freight & Analytics is seeking an Engineering Manager for the Carrier Services Board to lead a team of software engineers responsible for ingesting, processing, and publishing carrier-contributed rate data at scale.

You will drive a multi-year migration to a modern, cloud-native architecture on Kubernetes while delivering value to customers and maintaining low risk. You will partner with Product Management and mentor engineers to grow capabilities.

Qualifications

  • 5+ years of software engineering experience, with at least 2 years in an engineering management or technical lead role.
  • Demonstrated experience delivering complex software end-to-end from requirements through production.
  • Strong working knowledge of modern product development frameworks (continuous discovery, dual-track agile).
  • Hands-on experience migrating from legacy code to microservices or service-oriented architectures.

Responsibilities

  • Lead, mentor, and grow a team of software engineers; manage performance.
  • Own sprint planning, backlog refinement, and delivery forecasting; ensure commitments.
  • Translate business goals into engineering milestones; remove blockers across teams.
  • Drive high-quality engineering practices: code reviews, observability, and on-call readiness.
  • Report on team health and delivery metrics to leadership.

Skills

Team leadership
Kubernetes
CI/CD pipelines
Docker
AWS
Service-oriented architecture
Mentoring
Communication

Tools

Argo CD
Terraform
Helm
GitOps

Job description

DAT Freight & Analytics is seeking an Engineering Manager for the Carrier Services Board to lead a team of software engineers responsible for ingesting, processing, and publishing carrier-contributed rate data at scale.

You will drive a multi-year migration to a modern, cloud-native architecture on Kubernetes while delivering value to customers and maintaining low risk. You will partner with Product Management and mentor engineers to grow capabilities.

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