21 час назад
Staff Software Engineer (Platform Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Platform Engineering (Distributed Systems/Cloud): Leading the design and evolution of large-scale distributed systems and cloud-native platforms with an accent on scalability, reliability, observability, and AI-assisted engineering practices. Focus on shaping technical direction across teams, modernizing systems, reducing technical debt, and improving production resilience.
Location: Toronto, Ontario, Canada
Company
provides AI-powered IT management and cybersecurity software for managed service providers and internal IT organizations worldwide.
What you will do
- Lead the design and evolution of large-scale distributed systems and platform architectures.
- Define technical direction across multiple teams, focusing on scalability, reliability, maintainability, and operational excellence.
- Drive AI-assisted development practices that improve engineering velocity, code quality, and delivery outcomes.
- Partner with Product and Engineering leadership on technical priorities, roadmap decisions, and platform modernization.
- Lead architecture discussions, design reviews, code reviews, and technical planning.
- Improve observability, incident response, reliability practices, and technical debt management across production systems.
Requirements
- 8+ years of software engineering experience building production applications or platform services.
- Experience leading technical design or architecture decisions across multiple teams or services.
- Experience designing and operating distributed systems in cloud environments using AWS, Azure, or GCP.
- Experience building full-stack applications, APIs, or platform services with Rust, C#, JavaScript, or similar technologies.
- Experience supporting production systems, including observability, incident response, root cause analysis, and reliability improvements.
Nice to have
- Experience with OAuth 2.0, OIDC, SAML, Docker, Kubernetes, Terraform, Pulumi, or Bicep.
- Experience with CI/CD pipelines, automated testing, and progressive deployment strategies.
- Experience with relational and non-relational data stores and architecture trade-offs.
- Experience leading secure coding, threat modeling, or vulnerability remediation initiatives.
- Experience introducing AI-assisted development tools or workflows across engineering teams.
Culture & Benefits
- Work in a high-growth, high-performance environment focused on innovation, accountability, and results.
- Collaborate with engineering and product teams across a global software organization.
- Equal employment opportunity is provided to employees and applicants.
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