Software Engineer III

C.H. Robinson • Remote, MN

2d • $102,700 - $231,100 • Hybrid

About The Position

C.H. Robinson is seeking a Software Engineer III to join their Transactional Revenue Management team. This team is responsible for building and evolving a platform that delivers competitive, near-real-time pricing for shipping customers. The role involves partnering with engineers, data scientists, and analysts to design and deliver scalable systems for cost estimation, pricing strategy configuration, and data-driven insights. The engineer will own the development of scalable and modular near real-time systems that can be rapidly reconfigured and extended to meet evolving business needs, and create experimentation workflows and tools for rapid hypothesis testing. The position emphasizes distributed system design, cloud-native development, and data-intensive applications, with an increasing focus on AI-assisted and agentic solution development. This role can be based in MN, IL, or Kansas City.

Requirements

• 5+ years of experience designing and delivering production-grade software
• 5+ years of experience with Python and backend service development
• 5+ years of experience 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 (e.g., 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 (e.g. Copilot)
• Experience on agentic or LLM-based frameworks (LangChain/LangSmith, or similar agent frameworks) and orchestration tooling
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Nice To Haves

• 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 (ex. DataDog, Prometheus, Grafana)

Responsibilities

• Design and deliver high-complexity, scalable solutions supporting near real-time decisioning systems
• Architect and evolve distributed systems, including Microservices and RESTful APIs, Event-driven and streaming architectures, and Hybrid data storage strategies (relational and NoSQL)
• Collaborate with architects and cross-functional teams to influence and evolve system architecture
• Independently drive system design decisions, balancing scalability, reliability, performance, and cost
• Build and maintain applications using Python (backend services, data pipelines) and React (frontend user experiences)
• Develop and operate cloud-native solutions in 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 systems and Snowflake or comparable analytical data platforms
• Own services and repositories end-to-end, ensuring reliability, scalability, and maintainability
• Break down complex initiatives, guide estimation and delivery timelines, and proactively manage execution risks
• Implement strong testing strategies (unit, integration, and end-to-end) and maintain high standards for code quality
• Leverage AI-assisted development tools (e.g., GitHub Copilot) to accelerate engineering workflows and improve code quality
• Contribute to agentic and intelligent automation solutions, enabling adaptive and 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)
• Build strong, collaborative relationships across engineering, product, data, and architecture teams
• Actively contribute to and lead design discussions and code reviews
• Mentor and support other engineers, promoting best practices and continuous improvement
• Provide clear communication on progress, risks, and technical decisions
• Contribute to planning, prioritization, and delivery execution across the team

Benefits

• Three medical plans which 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) offered to U.S. salaried employees — no accruals and no caps.
• Paid Time Off (PTO) offered to 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
• Career development, networking, and team-building opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level