Senior Software Engineer

C.H. Robinson is hiring a Senior Software Engineer for its Plan/Optimizer team within Technology. The role builds and operates scalable planning and optimization platforms and services that generate actionable freight shipment plans and support customer supply chain decisions.

Responsibilities:

• Design and build the next generation of C.H. Robinson's planning and optimization platform that helps customers make intelligent freight planning decisions at scale
• Contribute to the technical roadmap and architectural direction of optimization, planning, and workflow orchestration services
• Design, develop, and operate resilient, scalable, and highly available cloud-native services that support critical supply chain planning capabilities
• Build platforms and services that evaluate transportation constraints, business rules, cost, service levels, capacity, and customer objectives to generate actionable shipment plans
• Design and develop proof of concepts (POCs) to evaluate emerging technologies and validate new approaches to optimization, automation, and intelligent decisioning
• Develop APIs, event-driven services, and workflow orchestration capabilities that enable planning solutions to integrate seamlessly across the enterprise
• Partner closely with Product Managers, Supply Chain Engineers, Data Scientists, Architects, and business stakeholders to translate customer needs into scalable technical solutions
• Design systems that balance configurability, maintainability, and performance while supporting diverse customer planning scenarios
• Mentor and influence other engineers through technical leadership, design reviews, code reviews, and knowledge sharing
• Evaluate and leverage AI-assisted development tools, intelligent automation, and emerging technologies to improve engineering productivity and platform capabilities
• Stay current on advancements in distributed systems, optimization technologies, AI, automation, and modern software engineering practices

Requirements:

• 6+ years of experience designing and implementing large-scale software products or distributed systems that span multiple applications and services
• Experience leading technical design and delivering complex initiatives from concept through production
• Experience developing proof of concepts and transforming innovative ideas into scalable production solutions
• Experience with modern development languages and frameworks (ex. .NET Core, C#)
• Experience designing and developing cloud-native applications and services (ex. Azure, AWS, GCP)
• Experience with relational and non-relational databases (ex. SQL Server, Oracle, MongoDB, Cosmos DB, Elasticsearch)
• Experience with microservices, CQRS, event-driven architectures, asynchronous messaging, and eventually consistent systems
• Experience with streaming platforms and integration technologies (ex. Kafka, Event Hubs, ESB)
• Experience designing and consuming RESTful APIs and event-driven integration patterns
• Experience establishing testing strategies, acceptance criteria, and reviewing automated tests
• Experience with CI/CD pipelines, automated deployment practices, and modern DevOps principles
• Experience with version control systems (ex. Git, GitHub)
• Experience delivering end-to-end features including backend services, APIs, integrations, and operational tooling
• Strong analytical and problem-solving skills with the ability to evaluate tradeoffs and navigate complex technical challenges
• Excellent communication and collaboration skills with the ability to explain complex concepts to technical and non-technical audiences
• Proven ability to deliver results in fast-paced environments while balancing multiple priorities and ambiguity
• Bachelor's Degree in Computer Science, Software Engineering, MIS, or related field; or 4 years of equivalent work experience and a high school diploma/GED
• Experience designing optimization, planning, scheduling, routing, allocation, or decision-support systems
• Experience building highly automated, high-volume workflows where human intervention is primarily exception-based
• Experience with rules engines, decision engines, workflow orchestration platforms, or configurable business process frameworks
• Experience designing systems that balance competing objectives such as cost, service, utilization, capacity, and operational constraints
• Experience modernizing complex legacy platforms through incremental migration and domain-driven architecture approaches
• Experience working with transportation, logistics, supply chain, planning, or operational technology platforms
• Experience developing configurable and metadata-driven platforms that support diverse customer requirements without requiring custom development
• Experience integrating optimization engines, planning services, AI models, or advanced analytics capabilities into production systems
• Experience building AI-enabled applications, agent-based workflows, intelligent automation solutions, or LLM-powered capabilities
• Experience applying AI technologies in enterprise environments with appropriate considerations for reliability, observability, governance, and security
• Demonstrated curiosity, continuous learning mindset, and willingness to experiment with emerging technologies while maintaining strong engineering discipline
• Strong customer focus with the ability to connect technical investments to measurable business outcomes
• Ability to influence technical direction and drive alignment across teams without direct authority
• A commitment to fostering an inclusive, collaborative, and growth-oriented engineering culture