> Markdown version of [/jobs/ext/1995197-software-engineer-iii-organization](https://www.wearedevelopers.com/jobs/ext/1995197-software-engineer-iii-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer III Organization - **Company:** C.H. Robinson - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $102,700.0 - $231,100.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Analysis, Unit Testing, Microsoft Azure, Big Data, Cloud Computing, Software Documentation, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Data Systems, DevOps, Programming Tools, Distributed Systems, Github, Design of User Interfaces, Monitoring of Systems, Human-Computer Interaction, Statistical Hypothesis Testing, Python (Programming Language), MongoDB, NoSQL, Systems Development Life Cycle, Prometheus, Server Administration, Service Development Studio, Software Engineering, Systems Architecture, Strategies of Testing, Web Application Frameworks, Workflow Management Systems, Datadog, Scripting, Data Storage Technologies, Real Time Systems, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Snowflake, Grafana, Backend, Kubernetes, Information Technology, Data Analytics, Star Schema, Data Management, Front End Software Development, Restful APIs, Data Pipelines, Microservices - **Published:** August 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-iii-minneapolis-mn--b8ba7ce8-4715-4e28-8a3a-129bdcba485e ## About the Role * 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), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Cloud Applications, Cloud Computing, Code Reviews, Communication Skills, Comparative Analysis, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Estimates, Cross-Functional, Data Analysis, Data Management, Data Science, Data Storage, DevOps, Distributed Computing, Diversity, Ecosystems, Establish Priorities, GitHub, Health Plan, Logistics, Machine Tool, Mentoring, Microservices, Microsoft Windows Azure, MongoDB, NoSQL, Pricing, Product Pricing, Production Support, Programming Tools, Python Programming/Scripting Language, Quality Management, REST (Representational State Transfer), React.js, Revenue Management, Risk Management, Scalable System Development, Snowflake Schema, Software Administration, Software Engineering, Statistical Modeling, Statistics, Stock Purchase Plans, System Architecture, Systems Scalability, Team Player, Test Strategy, Test Tools, Unit Test, User Documentation, User Interface/Experience (UI/UX) ## Description 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., * 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 ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Robots are coming into the wild! 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