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Expeditors

Senior Engineer, Global Technology - Enterprise Core Platform

Seattle, WA, United States

Additional Information Compensation and Benefits Base Salary: $142,000 - $214,000

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Job details

Pay: Additional Information Compensation and Benefits Base Salary: $142,000 - $214,000
Experience: Senior-level software engineering experience, preferably 5+ years, building systems other engineers depend on in production.
Working hours: 40 hours per week
Posting language: English
Posted: Nov 10, 2026

Original job description

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 help shape the future of the Enterprise Core Platform (ECP), the internal developer platform on Azure that every engineering team at Expeditors builds on. We are turning ECP from shared infrastructure into a platform engineering organization that runs like a product: self-service, declarative, and built for both engineers and the AI agents they work with. This role will help build where the platform is going next. Team and Technology You will join the Enterprise Core Platform engineering team, working in a small team using Kanban and monthly backlog planning. Each domain is led by a TPM and an engineering lead who act as cofounders, with autonomy to build and decide in their area and accountability for the result. The platform spans Azure Kubernetes Service, GitOps, infrastructure as code, identity, secrets, policy as code, and a new control plane written in Go. The team also builds AI-native capabilities including MCP servers, agent skills, spec-driven workflows, and the guardrails around them. What Success Looks Like

First 30 days: run the control plane locally, ship a reviewed change within the first two weeks, and shadow the on-call rotation.
First 90 days: own one capability end to end (design note, implementation, tests, rollout to a dev environment), and ship one agent-facing capability, such as an MCP tool, skill, or golden path, that another team uses.
First year: lead a stage of the control plane roadmap, carry a platform domain through a migration, and raise how the rest of the team builds with agents.

Key Areas of Impact Technical Depth and Delivery

Build and operate the Go control plane and its providers across identity, source control, GitOps, secrets management, templates, and the path to production.
Own capabilities end to end through design, implementation, testing, reviewed pull requests, rollout, and operational support.

Architectural Scale

Modernize Azure Kubernetes Service, GitOps, infrastructure as code, identity, secrets, and policy as code, leading migrations and helping define platform ownership.
Help evolve ECP from pipeline-based provisioning to a declarative control plane that reconciles state, corrects drift, and enables safe AI-native workflows.

Team Collaboration Scale

Partner within a small team where TPM and engineering leads share ownership, autonomy, technical decisions, and accountability for results.
Build with coordinated agents using implementation, adversarial review, and independent verification while remaining accountable for every line you merge.

Influence and Advocacy

Use reviewed pull requests, design notes, and architecture decision records (ADRs) to communicate technical decisions and help raise engineering practices across the team.
Help shape what the platform owns, how teams use agent-facing capabilities, and how engineers build safely and effectively with AI agents.

Scope of Vision

Lead a stage of the control plane roadmap and carry a platform domain through migration as ECP evolves into a self-service, declarative platform.
Help define the future of ECP across the control plane, AI-native developer experience, and core platform domains.

Scale of Business Understanding and Impact

Connect ECP’s technical priorities and decisions to Expeditors’ broader business and technology strategy, improving the platform experience for engineering teams through reliable, scalable, self-service capabilities.
Reduce developer friction by building golden paths and agent-facing capabilities that other teams can adopt and use safely.

This position is on-site and will reside in the greater Seattle, WA. area at one of the following locations depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.

Downtown Seattle
Federal Way
Lynnwood
Bellevue (Factoria)

Qualifications

Qualifications for Success Required

Senior-level software engineering experience, preferably 5+ years, building systems other engineers depend on in production.
Depth in one or more object-oriented programming languages. Go preferred; Python, Java, or TypeScript also fit, with willingness to work across them.
Kubernetes and infrastructure as code at depth. Azure preferred; AWS or GCP is acceptable if the concepts transfer.
Clear technical writing, including design notes, ADRs, and runbooks others can follow.
Experience building with AI coding agents daily with the ability to demonstrate an agent workflow, MCP server, skill, or automation and how its output is verified.

Preferred

Control planes, Kubernetes operators, or reconciliation-based systems.
API and resource model design that outlives its first consumer.
GitOps with Argo CD, Kustomize, and Helm; CI/CD with GitHub Actions.
Identity and secrets experience including OIDC, OAuth2, Entra ID, workload identity, and HashiCorp Vault.
Agent safety, observability, policy as code, software supply chain security, schema design, and platform-as-a-product experience.
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

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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More about this job

Skills

Microsoft Azure
Kanban
Kubernetes
Infrastructure as code
Object-oriented programming languages
Go
Python
Oracle Java
TypeScript
AWS
Google Cloud
Technical writing
Workflow
CI/CD
GitHub
Supply chain management

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Work requirements

Jobs in the United States