Senior Software Engineer

C.H. Robinson is a global logistics and transportation company. The Senior Software Engineer will provide technical leadership for Documents and Customs services, designing and delivering complex enterprise software solutions while driving innovation, engineering process improvements, secure development, testing, and operational excellence. The role also mentors engineers and leads collaboration across teams using modern AI-assisted development tools and agentic workflows.

Responsibilities:

• Analyze and translate high-level customer, product, and business requirements into detailed technical designs that solve complex business problems
• Design solutions that align with the long-term strategy for a service, product, or platform based on deep technical expertise, customer insight, operational needs, and enterprise standards
• Define interfaces, service boundaries, data contracts, and integration patterns; develop high-quality code across products or services and influence architectural direction when needed
• Leverage modern AI-assisted development tools, coding agents, and agentic engineering workflows to accelerate discovery, design, development, testing, documentation, refactoring, and operational troubleshooting
• Apply strong engineering judgment when using AI-generated or agent-assisted output, including validating correctness, security, maintainability, performance, licensing, and alignment with architectural standards
• Break down complex engineering work into clear, actionable tasks that can be executed by engineers and supported by AI/agentic tooling where appropriate, 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 to improve delivery speed and confidence
• Identify code across multiple code bases to optimize, refactor, simplify, or reuse in order to improve performance, maintainability, scalability, and return on investment
• Lead code reviews across the product or service, including review of AI-assisted code contributions; identify root causes of issues and drive practical, sustainable resolution
• Proactively identify performance, reliability, scalability, availability, and operational issues; troubleshoot and resolve production issues that may span multiple product areas or systems
• Develop and maintain clear architectural, technical, operational, and decision documentation, including documentation generated or accelerated through AI-assisted tooling
• Design products and services using secure programming patterns; identify, fix, and prevent security vulnerabilities in existing and new applications; ensure secure practices are embedded in design, implementation, testing, and deployment
• Estimate work across projects that span multiple product areas, including time, resource, skill, sequencing, dependency, and risk considerations
• Proactively identify technologies, tools, frameworks, patterns, or automation opportunities that 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 to review and approve proposals
• Mentor and coach other software engineers in software design, engineering practices, AI-assisted development, effective use of agentic tools, testing discipline, and operational ownership
• Proactively seek mentorship, feedback, and technical perspective from peers, principal engineers, architects, product partners, and leadership
• Lead the effort in defining and improving the engineering lifecycle and practices for the team and associated teams in partnership with principal engineers and engineering leadership
• Drive collaboration across multiple teams; find ways to 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
• Other duties or responsibilities as assigned according to the team and/or country-specific requirements

Requirements:

• 8+ years of experience developing, implementing, and supporting commercial software across multiple platforms while leveraging a variety of programming languages
• Experience owning and delivering projects and results 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 it is incorporated into production systems
• Experience with database objects in relational databases such as MS SQL or Oracle, including schema design, stored procedure development, query tuning, performance analysis, and optimization techniques
• 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
• 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 across the enterprise 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