Senior Software Engineer

C.H Robinson is seeking a Senior Software Engineer for our Global Forwarding pricing/rating/quote automation space. This role ties directly to automation, productivity, operational workflow, and financial accuracy. As a technical leader, you will work closely with engineering product managers, business stakeholders, and other leaders to define, estimate, and design complex, strategic solutions that delight customers. You will drive innovation, improve engineering processes, and mentor other engineers across the organization. If you are curious about building reliable, production-grade automation and autonomous agents in an enterprise environment, we’d like to hear from you.

This role can be based only in MN, IL, or Kansas City.

Responsibilities

• Analyze and translate high-level customer, product, and business requirements into detailed technical designs that solve complex business problems.
• Design solutions aligned with long-term strategy for services, products, or platforms based on technical expertise, customer insight, operational needs, and enterprise standards.
• Define interfaces, service boundaries, data contracts, and integration patterns; develop high-quality code and influence architectural direction.
• Leverage modern AI-assisted development tools, coding agents, and agentic engineering workflows to accelerate discovery, design, development, testing, documentation, refactoring, and troubleshooting.
• Apply strong engineering judgment to validate AI-generated or agent-assisted output for correctness, security, maintainability, performance, licensing, and alignment with architectural standards.
• Break down complex engineering work into clear, actionable tasks executed by engineers and supported by AI/agentic tooling while maintaining accountability for the final solution.
• Ensure consistent, usable, forward-looking, and maintainable test infrastructure; apply automated testing, test generation, regression validation, and quality gates.
• Identify code across multiple codebases to optimize, refactor, simplify, or reuse for improved performance, maintainability, scalability, and return on investment.
• Lead code reviews, including AI-assisted contributions; identify root causes of issues and drive practical, sustainable resolutions.
• Proactively identify performance, reliability, scalability, availability, and operational issues; troubleshoot and resolve production issues spanning multiple systems.
• Develop and maintain clear architectural, technical, operational, and decision documentation, including AI-assisted documentation.
• Design products and services using secure programming patterns; identify, fix, and prevent security vulnerabilities in applications.
• Estimate work across projects, including time, resources, skills, sequencing, dependencies, and risks.
• Proactively identify technologies, tools, frameworks, patterns, or automation opportunities to improve engineering effectiveness, delivery speed, quality, reliability, or business outcomes.
• Construct and deliver proposed solution strategies for new technologies, engineering practices, automation opportunities, and agentic tooling patterns; partner with architecture and engineering leadership for review and approval.
• Mentor and coach other software engineers in software design, engineering practices, AI-assisted development, agentic tools, testing discipline, and operational ownership.
• Proactively seek mentorship, feedback, and technical perspective from peers, principal engineers, architects, product partners, and leadership.
• Lead efforts to define and improve the engineering lifecycle and practices for the team and associated teams in partnership with principal engineers and leadership.
• Drive collaboration across multiple teams; increase team output by enabling others, improving shared practices, reducing friction, and scaling knowledge.
• Anticipate business needs and present technical options, tradeoffs, risks, and recommendations to leadership, product managers, and business stakeholders.
• Continuously improve team processes by identifying repeatable work that can be automated, accelerated, or enhanced through tooling, scripts, templates, AI agents, CI/CD improvements, monitoring, or documentation patterns.
• Perform other duties or responsibilities as assigned according to team and/or country-specific requirements.

Requirements

• 8+ years of experience developing, implementing, and supporting commercial software across multiple platforms using a variety of programming languages.
• Experience owning and delivering projects of increasing technical complexity.
• 8+ years of experience with modern development languages such as .NET Core, C#, TypeScript, or similar technologies.
• Experience with thin-client development such as HTML/CSS, JavaScript, TypeScript, and modern JavaScript frameworks.
• Experience using AI-assisted development tools, coding assistants, or agentic engineering workflows to improve productivity, code quality, testing, documentation, troubleshooting, or delivery outcomes.
• Ability to critically review, validate, and take ownership of AI-assisted or tool-generated output before incorporation into production systems.
• Experience with relational databases such as MS SQL or Oracle, including schema design, stored procedure development, query tuning, performance analysis, and optimization.
• Experience with non-relational databases such as MongoDB, Elastic, Cosmos DB, or similar technologies.
• Experience with HTTP, REST architecture, APIs, service contracts, and distributed system integration patterns.
• Experience with unit, integration, acceptance, regression, and automated testing practices.
• Experience with version control systems such as Git, GitHub, Azure DevOps, TFS, or similar platforms.
• Experience with CI/CD, continuous integration, continuous deployment, build pipelines, release automation, and deployment quality gates.
• Experience building, deploying, or supporting cloud-native applications and services using platforms such as Azure, AWS, or GCP.
• Strong understanding of secure development practices, code quality, maintainability, observability, and operational ownership.
• Bachelor’s degree from an accredited college or university in Computer Science, Software Engineering, IS, MIS, or other technology-related degree, or a minimum of 4 years of equivalent work experience and high school diploma/GED.

Preferred Qualifications

• Experience working on large-scale open source, inner source, or shared enterprise software development.
• Experience in system integration projects, global projects, distributed systems, or multi-team platform initiatives.
• Experience with data streaming architecture and frameworks such as Kafka, event-driven architecture, ESB, or related technologies.
• Experience designing or implementing automation that improves engineering delivery, operational support, testing, documentation, code migration, or production troubleshooting.
• Experience creating effective prompts, context, guardrails, and review practices for AI-assisted development or coding-agent workflows.
• Experience applying AI-assisted tools to legacy code modernization, test coverage expansion, technical debt reduction, documentation generation, incident investigation, or developer productivity improvements.
• Solid communication skills with strong customer focus and the ability to explain complex technical concepts in practical business terms.
• Effective collaborator with experience creating technical partnerships across teams, functions, and business areas.
• Ability to learn and understand multiple technical domains and communicate complex technical and business concepts to engineering teams, product partners, leadership, and business stakeholders.
• Experience directly or indirectly leading high-performing engineering teams, mentoring engineers, and helping assess and grow software engineering talent.
• Proven track record of delivering results in a fast-paced environment while managing multiple priorities, dependencies, and stakeholder expectations.
• Demonstrated ability to balance speed, quality, risk, security, maintainability, and business value when delivering software.
• Values a diverse and inclusive work environment.

Pay

Compensation range: $113,000.00 - $254,200.00. The base pay range reflects the minimum and maximum base pay for the position across all U.S. locations. Individual base pay is determined by work location, job-related skills, experience, and relevant education or training.

Benefits

• Three medical plans including prescription drug coverage.
• Enhanced fertility benefits.
• Flexible Spending Accounts and Health Savings Account (including employer contribution).
• Dental and vision coverage.
• Basic and supplemental life insurance.
• Short-term and long-term disability.
• Paid observed holidays and 2 paid floating holidays for U.S. hourly employees.
• Flexible Time Off (FTO) for U.S. salaried employees — no accruals and no caps.
• 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.
• Career development, networking, and team-building opportunities.