В Okta четко описана senior-позиция с современными инфраструктурными технологиями, но зарплата значительно ниже ориентира для похожих ролей, что снижает привлекательность предложения.
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Зарплата ниже рынкаСовременный стекЧеткая зона ответственностиБезопасность ИИ
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Platform Engineer, Layer0 (Auth0) (Golang/Terraform/Kubernetes): Building and maintaining a scalable platform runtime across Kubernetes, AWS, and Azure with an accent on distributed systems, infrastructure security, observability, and performance. Focus on architecting resilient cross-cutting infrastructure, enforcing platform SLOs, leading incident response, and coordinating complex technical initiatives.
Location: Remote team; candidates located in Canada
Salary: CAD 136,000–187,000 annual base salary
Company
Okta provides identity security infrastructure, with Auth0 securing more than 100 million logins each day.
What you will do
Develop and maintain a scalable platform runtime using infrastructure-as-code across Kubernetes, AWS, and Azure.
Architect resilient infrastructure for cross-cutting concerns such as service discovery and routing, and establish platform best practices.
Identify performance bottlenecks and optimize platform resiliency, scalability, and cost.
Use DataDog and Prometheus to design SLIs and enforce platform SLOs.
Design secure-by-default infrastructure and collaborate with security teams on compliance.
Lead complex cross-functional initiatives, mentor engineers, participate in on-call rotation, and use company-approved AI tools for engineering, operations, research, and analysis.
Requirements
5–8 years of software development experience.
Deep technical expertise in Golang, Terraform, Kubernetes, and major cloud providers including AWS and Azure.
Experience architecting distributed systems and making complex technical tradeoffs, including consistency versus availability and build versus buy.
Operational experience leading incident response, driving root-cause analyses, and implementing preventative measures.
Experience experimenting with AI models and exploring different effort levels and context.
Comfort working on a fully distributed remote team.
Nice to have
Advanced Kubernetes experience, including autoscaling, KEDA, or KNative, or expertise in performance and load testing.
Experience with Redis, Kafka, and/or PostgreSQL at scale.
Experience building with agentic AI.
Strong opinions about text editors, the CAP theorem, or Dota2.
Culture & Benefits
Fully distributed remote team with a global community spanning more than 20 offices.
In-person onboarding experience at the start of employment.
Health, dental, and vision insurance.
RRSP with a match, healthcare spending support, telemedicine, and paid leave including PTO and parental leave.
Equity and bonus may be available where applicable.
Equal opportunity employment and reasonable accommodation support throughout the application, interview, and onboarding process.
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