Чётко очерченная senior-роль в платформенной инженерии у крупной компании в сфере кибербезопасности даёт возможность влиять на масштабируемую инфраструктуру; главный заметный компромисс - дежурства по графику.
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TL;DR
Senior Platform Engineer (Auth0) (Golang/Terraform/Kubernetes): Building and operating scalable platform infrastructure for Auth0 services across Kubernetes, AWS, and Azure with an accent on distributed systems, performance, security, and observability. Focus on architecting resilient cross-cutting platform capabilities, optimizing scale and cost, leading incident response, and coordinating complex initiatives across teams.
Location: Toronto, Ontario, Canada; fully distributed remote team.
Salary: $136,000–$187,000 CAD annual base salary for candidates located in Canada.
Company
Okta provides identity and access infrastructure, with Auth0 securing more than 100 million logins per 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 capabilities such as service discovery and routing, while establishing platform best practices.
Identify performance bottlenecks and optimize platform resiliency, scalability, and cost.
Use DataDog and Prometheus to design SLIs and enforce platform SLOs; build secure-by-default infrastructure and support compliance.
Lead complex cross-functional initiatives, align teams around technical strategies, and deliver projects end to end.
Mentor junior and mid-level engineers, use approved AI tools, and participate in the on-call rotation.
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 trade-offs, including consistency versus availability and build versus buy.
Strong operational experience delivering incrementally, leading incident response, driving root-cause analyses, and implementing preventative measures.
Experience experimenting with AI models and evaluating 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.
Culture & Benefits
Health, dental, and vision insurance; RRSP with a company match; healthcare spending; and telemedicine.
Paid leave, including PTO and parental leave, according to applicable plans and policies.
Equity and bonus may be available where applicable.
In-person onboarding is provided to accelerate impact and build connection with the mission and team.
Participation in an on-call rotation is required.
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