C.H. Robinson is seeking a Software Engineer III to join our Transactional Revenue Management team, responsible for building and evolving a platform that delivers competitive, near-real-time pricing for shipping customers. In this role, you will partner closely with engineers, data scientists, and analysts to design and deliver scalable systems for cost estimation, pricing strategy configuration, and data-driven insights. You will take ownership of building scalable and modular near real-time systems that can be rapidly reconfigured and extended to match evolving business needs and creating experimentation workflows and tools to rapidly test hypotheses. This role emphasizes distributed system design, cloud-native development, and data-intensive applications, with a growing focus on AI-assisted and agentic solution development.
Duties & 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, 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, 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
Compensation Range
$102,700.00 - $231,100.00. The base pay range displayed on each job posting reflects the minimum and maximum base pay for the position across all U.S. locations. Your individual base pay within this range is determined by work location, which takes into account geographic cost of labor, and additional factors, including job-related skills, experience, and relevant education or training.
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
Plus a broad range of career development, networking, and team-building opportunities
Learn more about our benefit offerings
Required Qualifications:
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)
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 (ex. DataDog, Prometheus, Grafana)
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