aipythongokubernetesterraformawsgcpinfrastructure as codestartuppulumiobservability
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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$180к-250к/год
$160к$190кмедиана$220к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.9к/мес ($3.7к - $4.9к)
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Зона ответственности четко связана с надежностью продакшена и облачной инфраструктурой, а стек современный; при этом важно учитывать темп стартапа и требование работать из офиса в Портленде.
Работа из офиса
Современный стек
Платформа для AI
Влияние на продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Site Reliability Engineer (Cloud Infrastructure): Building and operating scalable cloud infrastructure, observability, and automation for a horizontal identity platform across core and FedRAMP environments with an accent on Kubernetes, infrastructure as code, and incident response. Focus on designing reliable systems, automating operational toil, and improving platform resilience through actionable monitoring and blameless postmortems.
Location: Remote workplace type with in-office work in Portland; candidates must be U.S. citizens and perform the role on U.S. soil.
Salary: $180K–$250K plus equity.
Company
hirify.global is building a horizontal identity platform that connects SaaS applications, infrastructure, internal tools, and AI agents to manage access.
What you will do
Design, build, and operate reliable, scalable infrastructure for core cloud and FedRAMP environments.
Create observability, monitoring, alerting, and operational tooling that supports rapid incident response.
Partner with product teams to build reliability into new features.
Automate recurring operational work using infrastructure as code.
Lead incident response, conduct blameless postmortems, and drive systemic improvements.
Plan and deliver infrastructure projects incrementally while assessing risks and communicating tradeoffs.
Requirements
Track record of building and operating production systems at scale for real customers.
Deep experience with cloud infrastructure such as AWS or GCP and infrastructure as code such as Terraform or Pulumi.
Strong programming skills in Go, Python, or a similar language, with experience building tools and automation.
Production experience with Kubernetes and container orchestration.
Strong systems thinking and understanding of component interactions and cascading failures.
Ability to work independently, identify what needs to be built, move quickly, and remove blockers.
Deep observability expertise, including instrumentation, dashboards, and meaningful alerting.
Experience with AI-assisted development tools such as Claude Code, Cursor, or Copilot.
Clear communication skills for explaining complex systems and driving alignment during incidents.
Nice to have
Experience with AI/ML infrastructure or serving LLMs in production.
Background in security-focused environments or compliance frameworks such as SOC 2 or FedRAMP.
Experience building developer platforms or internal tooling.
Familiarity with identity systems and protocols including SCIM, SAML, OAuth, or LDAP.
Open-source or engineering-community contributions.
Culture & Benefits
Impact is prioritized over ownership, with an emphasis on shipping real products.
Independent operation and thorough resolution of issues are expected.
Effective use of AI is expected.
Meaningful equity and full medical, dental, and vision coverage.
In-office work in Portland.
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