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обновлено 5 дней назад

Staff Software Reliability Engineer (Data Platform)

160 000 - 220 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Software Reliability Engineer (Data Platform) (Streaming Data/ML Infrastructure): Designing and operating high-volume, low-latency distributed data-platform services that power analytics and machine learning with an accent on scalable streaming infrastructure, data quality, and observability. Focus on building high-performance platform components, tuning distributed systems, debugging production issues, and managing reliability across complex service stacks.

Location: Toronto, Ontario, Canada; hybrid

Salary: CAD 160,000–220,000 annually, plus equity where applicable, bonus, and benefits.

Company

Okta builds identity and security infrastructure that helps organizations securely use cloud, data, and AI technologies.

What you will do

  • Design, implement, deploy, and own high-performance, scalable data-platform components.
  • Build and optimize streaming infrastructure for analytics and machine-learning systems.
  • Collaborate with engineers, architects, and cross-functional partners on system design and implementation.
  • Conduct design reviews, code reviews, technical analysis, and performance tuning.
  • Coach and mentor engineers while helping scale the engineering organization.
  • Debug production issues, participate in on-call rotation, and manage incidents across services and stack layers.

Requirements

  • 5+ years of industry experience.
  • 2+ years of experience with an object-oriented language, preferably Java.
  • Hands-on experience with cloud-based distributed computing technologies, including messaging, data processing, storage, compute, coordination, and scheduling systems.
  • Experience developing and tuning highly scalable distributed systems.
  • Strong understanding of software engineering principles, multithreading, garbage collection, and memory management.
  • Experience with reliability engineering, including data quality, data observability, and incident management.

Nice to have

  • Experience with security, encryption, identity management, or authentication infrastructure.
  • Experience building mission-critical, high-volume services with major public cloud providers.
  • Experience developing data integration applications for petabyte-scale batch and online systems.
  • Experience with distributed systems such as Kafka or Hadoop.
  • Experience developing Kubernetes-based services on AWS.

Culture & Benefits

  • Opportunity to work on foundational data services supporting streaming analytics, reporting, machine learning, and product telemetry.
  • Ownership of technically challenging projects using modern data-platform technologies.
  • Health, dental, and vision insurance.
  • RRSP matching, healthcare spending support, telemedicine, and paid leave including PTO and parental leave.
  • Equity where applicable, bonus opportunities, and an in-person onboarding experience.

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