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 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.
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.