Software Engineer III
Backend Developer
Python
Apache Airflow
APIs
Artificial Intelligence
Automation
Cloud
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data Analysis
Data Architecture
Data Integration
Data Pipeline
Data Platform
Data Processing
Database
Databases
DevOps
DevSecOps
Distributed Systems
Engineering
ETL
Event Driven Architecture
Frontend
Full Stack
Generative AI
Informatica
Information Technology (IT)
Infrastructure
Infrastructure As Code
Integration
Kubernetes
Large Language Models
Machine Learning
Microservices
Platform Engineering
Programming
Programming Language
Programming Languages
REST APIs
Software Architecture
Software Development
Software Engineer
Software Engineering
SQL
Web Design
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
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