Software Engineer III

Requirements

• 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)
• We will review applications for this role on an ongoing basis and encourage all interested candidates to apply at their earliest convenience.
• Compensation Range
• $102,700.00 - $231,100.00

Additional Information

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. This Role can be based only in MN, IL and Kansas City 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 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)

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