обновлено 6 дней назад
Staff DevOps Developer (AI)
130 000 - 180 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff DevOps Developer (AI) (Python/Terraform/AWS/Azure): Building the multi-cloud control and data plane, production integrations, RAG retrieval services, and MCP servers that power internal AI tools and agents with an accent on cloud networking, infrastructure as code, and governed knowledge access. Focus on designing secure scalable architectures, optimizing vector search and re-ranking, integrating agent skills, and operating resilient CI/CD platforms.
Location: Vancouver, BC, Canada; fixed hybrid model with three days per week in the office on Tuesday, Wednesday, and Thursday
Salary: CAD 130,000–180,000 per year plus bonus
Company
provides Workforce Intelligence, people analytics, workforce planning, organizational design, and manager effectiveness solutions powered by AI.
What you will do
- Define and operate multi-cloud infrastructure across AWS and Azure, including compute, storage, VPCs, subnets, private endpoints, and load balancing.
- Write tested production Python code and build resilient integrations with Salesforce, ServiceNow, Gong, and Gainsight.
- Design and optimize RAG retrieval services covering embeddings, vector search, and re-ranking, and expose them through MCP servers.
- Own Terraform infrastructure and automated CI/CD pipelines using Jenkins, Bitbucket, Artifactory, and related tooling.
- Build the integration layer between data warehouses and AI assistants, including agent skills, query APIs, and prompt structures.
- Implement security, observability, monitoring, cost governance, and platform operations for reliable AI systems.
Requirements
- 7+ years of professional software development and platform or DevOps engineering experience, including end-to-end ownership of complex architectures.
- Strong Python development experience and expertise in scalable API integrations.
- Deep Terraform expertise and operational experience with AWS and Azure managed services.
- Strong knowledge of cloud networking, TLS, OAuth, SAML, Okta, secrets management, IAM, and RBAC.
- Production experience with Docker, Kubernetes, and automated CI/CD pipelines using Jenkins, Bitbucket, or GitHub Actions.
- Practical knowledge of RAG pipelines, vector search, chunking, re-ranking, agent frameworks, tool-calling interfaces, and AI security risks.
Nice to have
- Bachelor's degree in Computer Science or Software Engineering.
- Experience evaluating emerging agent frameworks and defining platform-wide engineering standards.
Culture & Benefits
- Pet-friendly downtown office with collaborative areas, an on-site gym, and convenient public transit access.
- Competitive compensation with health and wellness benefits.
- Stock options and/or bonus depending on role, location, and employment type.
- Generous paid time off, including volunteering days and additional December holiday days.
- Annual company All Hands in Vancouver with team building, learning, and breakout sessions.
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