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Job Description

C.H. Robinson is hiring a Software Engineer III to support the Transactional Revenue Management team. You’ll build and evolve scalable, near-real-time pricing systems, working on distributed, cloud-native platforms and data-intensive applications. The role also has a growing emphasis on AI-assisted development and agentic, decision-driven automation, alongside collaboration with engineers, data scientists, and analysts.

Location: Remote

Compensation: USD 102,700 - 231,100 per year

What you’ll do

  • Design and deliver high-complexity, scalable solutions for near-real-time decisioning systems
  • Architect and evolve distributed systems including microservices and RESTful APIs
  • Architect and evolve event-driven and streaming architectures
  • Shape hybrid data storage strategies using relational and NoSQL approaches
  • Build and maintain applications using Python (backend services, data pipelines) and React (frontend user experiences)
  • Develop and operate cloud-native solutions on Azure leveraging Kubernetes
  • Design and implement data workflows using Airflow or DAG-based orchestration frameworks
  • Work across modern data ecosystems including MongoDB (or similar NoSQL) and Snowflake (or comparable analytical platforms)
  • Own services and repositories end-to-end to support reliability, scalability, and maintainability
  • Break down complex initiatives, guide estimation and delivery timelines, and manage execution risks
  • Implement strong testing practices (unit, integration, end-to-end) and maintain code quality standards
  • Use AI-assisted development tools such as GitHub Copilot to accelerate workflows and improve code quality
  • Contribute to agentic and intelligent automation that enables adaptive, decision-driven workflows
  • Partner with data scientists and analysts to productionize models and support experimentation frameworks
  • Apply statistical thinking or data science concepts to improve system effectiveness where applicable
  • Collaborate closely across engineering, product, data, and architecture teams, and actively participate in design discussions and code reviews
  • Mentor other engineers and support continuous improvement through best practices
  • Provide clear communication on progress, risks, and technical decisions, and contribute to planning and delivery execution

What you bring

  • 5+ years designing and delivering production-grade software
  • 5+ years with Python and backend service development
  • 5+ years with React or modern frontend frameworks
  • Experience building cloud-native applications ( Azure preferred ) with Kubernetes
  • Experience with modern data technologies, including MongoDB (or similar) and Snowflake (or equivalent)
  • Experience with data pipelines and workflow orchestration (for example, Airflow)
  • Experience designing and consuming APIs and distributed systems
  • Familiarity with CI/CD pipelines and modern DevOps practices
  • Ability to independently own and deliver complex features or services
  • Experience using AI-assisted development tools and building intelligent workflows (for example, Copilot)
  • Experience with agentic or LLM-based frameworks (for example, LangChain/LangSmith or similar) and orchestration tooling
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Preferred qualifications

  • Experience partnering with data science teams to deliver production models
  • Background in statistical modeling, experimentation, or data-driven decision systems
  • Experience in pricing, logistics, or other high-scale transactional systems
  • Strong communication skills with the ability to influence technical and product decisions
  • Demonstrated ability to mentor engineers and contribute to team growth
  • Experience with monitoring tools such as DataDog, Prometheus, or Grafana

Tools and technologies

  • Python, React, Azure, Kubernetes
  • Airflow, DAG-based orchestration frameworks
  • MongoDB, NoSQL, Snowflake
  • RESTful APIs, Microservices
  • Event-driven and streaming architectures
  • GitHub Copilot, LangChain, LangSmith, LLM-based frameworks
  • CI/CD pipelines
  • DataDog, Prometheus, Grafana

Benefits

  • Three medical plans that include prescription drug coverage
  • Enhanced Fertility benefits
  • Flexible Spending Accounts
  • Health Savings Account (including employer contribution)
  • Dental and Vision
  • Basic and Supplemental Life Insurance
  • Short-Term and Long-Term Disability
  • Paid observed holidays
  • 2 paid floating holidays for U.S. hourly employees
  • Flexible Time Off (FTO) for U.S. salaried employees (no accruals and no caps) and Paid Time Off (PTO) for all other employees in the U.S. and Canada
  • Paid parental leave
  • Paid time off to volunteer in your community
  • Charitable Giving Match Program
  • 401(k) with 6% company matching
  • Employee Stock Purchase Plan
  • Broad range of career development, networking, and team-building opportunities

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