Senior Engineer, Global Technology - Americas Capabilities

Expeditors•Ellenwood, GA

1d•$142,000 - $214,000•Onsite

About The Position

The Senior Engineer provides technical leadership in the design, development, implementation, and operation of technology solutions supporting Americas supply chain and logistics operations. The role influences technical direction, promotes engineering excellence, and delivers reliable, scalable, maintainable systems that create long-term business value. The position works with engineers, architects, managers, product teams, and business stakeholders to deliver capabilities on a modern enterprise cloud platform. The team develops Angular frontends and Java Spring Boot services and applies AI across the engineering lifecycle, including AI-enabled solution design, coding agents, agentic workflows, automation, and operational excellence. The Senior Engineer leads complex capabilities from design through production, establishes reusable AI and agentic workflow patterns, advances engineering standards, mentors engineers, and translates business objectives into long-term technical solutions. The role is on-site in one of these locations, depending on availability: Atlanta, Georgia; Dallas, Texas; Detroit, Michigan; Laredo, Texas; or Newark, New Jersey. Candidates must be local or willing to relocate. Relocation assistance is not offered. Applicants must be eligible to work in the U.S. immediately; the employer will not transfer or sponsor U.S. work authorization.

Requirements

At least 7 years of professional software engineering experience, with strong fundamentals in architecture, APIs and integration, testing, security, observability, and maintainable code.
Advanced hands-on proficiency in Java and Spring Boot, and experience building enterprise applications with Angular.
Experience building AI-enabled solutions in production, including RAG, evaluation, guardrails, and responsible AI practices.
Experience using coding agents and AI-assisted development tools, including context management and validation of AI-generated output.
Experience designing agentic workflows with task decomposition, tool integration, human-in-the-loop review, approval processes, and auditability.
Experience automating engineering and operational workflows, including CI/CD pipelines, automated testing, data or process pipelines, and monitoring.
Bachelor’s, master’s, or doctoral degree in Computer Science, Information Systems, Engineering, Business, or a related field, or an equivalent combination of education and experience.
Current role-based Microsoft Azure certification, or ability to obtain one within 12 months of hire.
Must be eligible to lawfully work in the U.S. immediately; the employer will not transfer or sponsor applicants for U.S. work authorization.
Must be local to one of the listed locations or willing to relocate; relocation assistance is not offered.

Nice To Haves

Experience building agents and agentic workflows using Azure AI Foundry, MCP, or comparable agent platforms.
Experience with GraphQL APIs and event-driven architectures such as Kafka.
Experience deploying containerized applications on Kubernetes using GitOps and infrastructure as code.
Python experience for automation, data integration, or AI workloads.
Experience in supply chain, logistics, customs, or freight forwarding.
Experience with Agentic AI development processes and practices.

Responsibilities

Lead the design, development, implementation, and production support of complex technology solutions across modern cloud-based platforms.
Deliver significant capabilities from design through production and demonstrate measurable business, reliability, or productivity improvements.
Drive AI-enabled engineering practices, automation, CI/CD improvements, and operational excellence initiatives.
Design scalable, reliable, and maintainable systems, evaluating technical tradeoffs across platforms and dependencies.
Design and orchestrate agent-based workflows integrating agents, skills, tools, and human oversight.
Collaborate with engineering teams, architects, product partners, and business stakeholders to deliver shared outcomes.
Mentor engineers through technical guidance, knowledge sharing, and engineering best practices.
Champion engineering excellence, operational best practices, and technical solutions that improve quality and customer outcomes.
Communicate technical recommendations, risks, and strategy to technical and non-technical audiences.
Translate business objectives into scalable technical solutions and execution plans with a long-term perspective.
Identify opportunities to modernize systems, reduce technical debt, and improve operational performance.
Apply business and customer needs to technical prioritization and solution design decisions.
Deliver solutions that improve customer experience, operational effectiveness, and business outcomes.