10 дней назад
Manager, Engineering - RMJ (AI Accelerated)
135 000 - 160 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Engineering - RMJ (AI Accelerated) (Java/SaaS Automation): Leading multiple development teams building and evolving a cloud-native business process automation platform with an accent on distributed systems, resilience, and AI-accelerated software development. Focus on scaling engineering operations, designing fault-tolerant architectures, improving CI/CD and observability, and applying prompt engineering to code, tests, and documentation.
Location: Toronto, Canada; based at the Toronto engineering hub.
Base salary: CAD $135,000–$160,000 annually, excluding bonuses, incentives, equity, and benefits.
Company
Software provides a SaaS-first automation platform for orchestrating mission-critical business and IT processes across ERP, hybrid cloud, data, and agentic AI systems.
What you will do
- Lead multiple development teams building and evolving the RunMyJobs SaaS business process automation platform.
- Partner with the Head of Engineering and cross-functional leaders to define technical strategy and align engineering priorities with business goals.
- Lead the design of large-scale distributed systems focused on resilience, low latency, and fault tolerance in the Java ecosystem.
- Improve Agile development, continuous delivery, DevOps, and cloud-native engineering processes.
- Oversee CI/CD, Kubernetes, Docker, cloud deployment, and observability across AWS, Azure, or GCP environments.
- Manage team capacity, hiring, resource allocation, engineering KPIs, mentoring, and succession planning.
Requirements
- 6+ years of software development experience, including coaching or leading software developers.
- Strong backend development experience with Java or similar languages, distributed systems, and RESTful APIs.
- Experience building and scaling enterprise SaaS products and leading cloud-native applications.
- Experience with Agile product delivery, DevOps, CI/CD pipelines, and continuous cloud delivery.
- Proficiency using AI-powered developer tools such as GitHub Copilot or CodeWhisperer in production.
- Ability to evaluate AI-generated code and prompts against architectural, security, performance, testing, and documentation requirements.
Nice to have
- Experience in automation, ERP, or workflow orchestration domains.
- Experience with prompt engineering for code, tests, technical documentation, and refactoring.
Culture & Benefits
- Work in an engineering organization focused on customer success, ownership, curiosity, and solving complex problems.
- products are used by more than 50% of the Fortune 50.
- Base compensation is supplemented by applicable bonuses, incentives, equity, and benefits.
- AI-enabled notetaking may be used during interviews; final hiring decisions are made by the hiring team.
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