Senior Engineer, Global Technology - Enterprise Core Platform (AI)
Контакты
142 000 - 214 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aigokubernetesazureinfrastructure as codegitopsidentitysecrets managementpolicy as codecontrol planes
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$142к-214к/год
$180к$210кмедиана$230к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $4.3к/мес ($3.6к - $5к)
88
Хорошая вакансия
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Здесь четко очерчена платформа-инженерная роль, используются современные технологии и заданы конкретные этапы работы, но обязательный офис в районе Сиэтла и отсутствие визового спонсорства ограничивают доступность вакансии.
Только офис
Без визовой поддержки
Современный стек
Четкая роль
Поддержка развития
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineer, Global Technology - Enterprise Core Platform (Go/Azure/AI): Building and operating a declarative internal developer platform on Azure with a Go control plane, Kubernetes, GitOps, infrastructure as code, and AI-native developer capabilities with an accent on self-service provisioning, reconciliation, and platform reliability. Focus on leading control-plane roadmap stages, migrating platform domains, designing agent-facing capabilities, and ensuring safe verification of AI-assisted engineering workflows.
Location: On-site in the greater Seattle, WA area, at Downtown Seattle, Federal Way, Lynnwood, or Bellevue (Factoria). Candidates must be local or willing to relocate; relocation assistance is not offered.
Base salary: $142,000–$214,000 per year.
Company
hirify.global is a Fortune 500 global supply chain management and logistics company operating unified systems across 350+ locations and 60+ countries.
What you will do
Build and operate the Go control plane and its providers across identity, source control, GitOps, secrets, templates, and production delivery.
Own platform capabilities end to end, including design, implementation, testing, reviewed pull requests, rollout, and operational support.
Modernize Azure Kubernetes Service, infrastructure as code, identity, secrets, and policy as code while leading migrations.
Evolve the platform from pipeline-based provisioning into a declarative control plane that reconciles state, corrects drift, and supports safe AI-native workflows.
Build agent-facing capabilities such as MCP tools, agent skills, and golden paths for other engineering teams.
Lead a stage of the control-plane roadmap, communicate decisions through design notes and ADRs, and improve engineering practices across the team.
Requirements
Senior-level software engineering experience, preferably 5+ years, building production systems used by other engineers.
Strong experience with one or more object-oriented programming languages; Go is preferred, while Python, Java, or TypeScript are also suitable with willingness to work across languages.
Deep Kubernetes and infrastructure-as-code experience; Azure is preferred, while AWS or GCP is acceptable if the concepts transfer.
Clear technical writing, including design notes, ADRs, and runbooks.
Daily experience building with AI coding agents, with the ability to demonstrate an agent workflow, MCP server, skill, or automation and explain how its output is verified.
Must be eligible to lawfully work in the U.S. immediately.
The employer will not transfer or sponsor U.S. work authorization, including an H-1B visa.
Nice to have
Experience with control planes, Kubernetes operators, or reconciliation-based systems.
API and resource model design intended to outlive the first consumer.
GitOps with Argo CD, Kustomize, and Helm, plus CI/CD with GitHub Actions.
Identity and secrets experience with OIDC, OAuth2, Entra ID, workload identity, and HashiCorp Vault.
Experience with agent safety, observability, policy as code, software supply chain security, schema design, platform-as-a-product practices, and agentic AI development processes.
Culture & Benefits
Full-time schedule of 40 hours per week, Monday through Friday, in a small Kanban-based engineering team with monthly backlog planning.
TPMs and engineering leads share ownership, autonomy, technical decision-making, and accountability for results.
Benefits include paid vacation, 10 holidays, flexible days, paid sick time, paid parental leave, and commuter benefits.
Medical, prescription drug, dental, vision, HSA, life and disability insurance, DC FSA, EAP, and a 401(k) with employer match.
Employee Stock Purchase Plan, training and personnel development, and educational assistance and reimbursement.
Будьте осторожны
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