обновлено 29 дней назад
Senior Lead Systems Engineer (AI & Automation)
119 000 - 187 000CAD
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Systems Engineer (AI & Automation): Building scalable enterprise integrations, intelligent automation, conversational IT experiences, and AI-enabled workflows across SaaS platforms with an accent on APIs, platform architecture, reliability, and operational simplicity. Focus on designing event-driven integrations, implementing LLM and agent frameworks, building reusable automation tooling, and leading complex enterprise technology initiatives.
Location: Toronto, Canada
Salary: CA$119,000–CA$187,000 per year; expected OTE of CA$132,000–CA$208,000 per year
Company
is a customer engagement SaaS platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.
What you will do
- Design and build intelligent automation across enterprise platforms to reduce manual effort and improve employee productivity.
- Develop scalable integrations, APIs, middleware, and event-driven workflows connecting Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications.
- Build conversational IT and self-service experiences that reduce reliance on ticket-based workflows.
- Design resilient enterprise platform architectures with strong maintainability, extensibility, and operational excellence.
- Evaluate and implement AI technologies, large language models, MCP integrations, and agent frameworks for enterprise automation.
- Provide technical leadership, contribute to platform strategy, document architecture, and mentor engineers.
Requirements
- 8+ years of experience designing enterprise-scale integrations and automation in modern SaaS environments.
- Strong software engineering experience building APIs, integrations, automation, or platform services.
- Proficiency in Python, Go, TypeScript, or JavaScript.
- Experience with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards.
- Experience with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, or Google Workspace.
- Ability to design scalable architectures and collaborate with engineering, security, infrastructure, and business teams.
Nice to have
- Experience with AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms.
- Experience with Terraform, infrastructure as code, cloud automation, event-driven architectures, message queues, or serverless technologies.
- Experience with AWS, GCP, Azure, internal developer platforms, or enterprise integration frameworks.
Culture & Benefits
- Hybrid ways of working with a curated in-office experience.
- Equity grants, retirement and employee stock purchase plans, and flexible paid time off.
- Medical, dental, vision, life, disability, fertility, and equal paid parental leave benefits, varying by location.
- Professional development through career pathing, learning platforms, and an annual learning stipend.
- Employee resource groups, volunteer opportunities, donation matching, and a collaborative workplace culture.
Hiring process
- AI-assisted tools may analyze application materials and support interview scheduling, recording, and note summarization.
- Recruiting teams remain involved in hiring decisions; candidates may request information, manual review, or opt out of AI-assisted review where applicable.
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