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Open nowPosted 21 hours ago

Senior Engineer, Global Technology - Americas Capabilities

Expeditors523 open roles

Pay
$142,000 – $214,000 a year
Where
Ellenwood, GA, United States
Work mode
On site
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Your applicationOpen nowSenior Engineer, Global Technology - Americas CapabilitiesExpeditors · Ellenwood, GA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Expeditors's own form.

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Expeditors postings stay open a median of 41 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 21 hours ago

Expeditors median: 41 days open

The posting

Company Description

“We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder

Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.

  • 18,000 trained professionals
  • 350+ locations worldwide across 60+ countries
  • Fortune 500
  • Globally unified systems

Job Description

Why This Role Matters

As a Senior Engineer, you will provide technical leadership in the design, development, implementation, and operation of technology solutions that support Americas supply chain and logistics operations. You will influence technical direction, drive engineering excellence, and help deliver reliable, scalable, and maintainable systems that create long-term business value.

Team and Technology

You will work closely with engineers, architects, managers, product teams, and business stakeholders to deliver business 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 practices.

What Success Looks Like

  • Lead the design, delivery, and production support of complex technology solutions that drive measurable business outcomes.
  • Establish reusable AI and agentic workflow patterns that improve engineering productivity, reliability, and operational effectiveness.
  • Partner across engineering and business teams to deliver strategic capabilities while advancing engineering standards and practices.
  • Within the first 12–18 months, lead 2–3 significant capabilities from design through production and demonstrate measurable business, reliability, or productivity improvements.

Key Areas of Impact

Technical Depth and Delivery

  • Lead the design, development, implementation, and support of complex technology solutions across modern cloud-based platforms.
  • Drive AI-enabled engineering practices, automation, CI/CD improvements, and operational excellence initiatives.

Architectural Scale

  • Design scalable, reliable, and maintainable systems while evaluating technical tradeoffs across platforms and dependencies.
  • Design and orchestrate agent-based workflows that integrate agents, skills, tools, and human oversight.

Team Collaboration Scale

  • 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.

Influence and Advocacy

  • Champion engineering excellence, operational best practices, and technical solutions that improve quality and customer outcomes.
  • Communicate technical recommendations, risks, and strategy to both technical and non-technical audiences.

Scope of Vision

  • 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.

Scale of Business Understanding and Impact

  • Apply business and customer needs to technical prioritization and solution design decisions.
  • Deliver solutions that improve customer experience, operational effectiveness, and business outcomes.

This position is on-site and will reside in one of the areas listed below, depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.

  • Atlanta, GA
  • Dallas, TX
  • Detroit, MI
  • Laredo, TX
  • Newark, NJ

Qualifications

Qualifications for Success

Required

  • 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 the ability to obtain one within 12 months of hire.

Preferred

  • 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.

Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.

Additional Information

Compensation and Benefits

Base Salary: $142,000 - $214,000

(The listed salary range is representative of the Newark market. Compensation may vary for positions based in Atlanta, GA, Dallas, TX, Detroit, MI, or Laredo, TX.)

Benefits: Expeditors offers competitive benefits to all full-time employees including:

  • Paid vacation
  • Holidays (10)
  • Flexible Days (2)
  • Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)
  • 401(k) Retirement Savings Plan with employer match
  • Employee Stock Purchase Plan (ESPP)
  • Medical, Prescription Drug, Dental & Vision Coverage
  • Health Savings Account (HSA)
  • Life and Disability Insurance
  • Paid Parental Leave (additional eligibility criteria)
  • Dependent Care Flexible Spending Account (DC FSA)
  • Commuter Benefit
  • Employee Assistance Program (EAP)
  • Training and Personnel Development Program
  • Educational Assistance and Reimbursement
  • Position is full time (40 hours per week) Monday through Friday

All your information will be kept confidential according to EEO guidelines.

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