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Closed on September 7, 2026.
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Software Engineer III
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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