Senior Platform Engineer - AI Platforms & Deployment - Landmark (Calgary, AB, CA, T2P 3V4)

Job Duties Design and maintain CI/CD pipelines for web applications, services, and AI platforms Build and operate Kubernetes-based environments across development, testing, and production Develop Infrastructure-as-Code solutions that enable reliable and repeatable deployments Design deployment architectures for cloud, hybrid, and on-premises environments Deploy and operate AI-powered applications, agent runtimes, MCP servers, orchestration services, and supporting infrastructure Implement monitoring, logging, tracing, alerting, and operational dashboards Establish platform reliability, security, observability, and operational standards Automate build, deployment, validation, and release processes Troubleshoot and resolve production incidents across applications, infrastructure, and cloud environments Apply security best practices and participate in architecture and security reviews Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent experience 7+ years of software engineering, DevOps, platform engineering, or site reliability engineering experience Proven experience owning production deployments for business-critical applications Deep experience with Kubernetes and containerized application deployment Experience designing and maintaining enterprise CI/CD pipelines Strong experience with Infrastructure-as-Code technologies such as Terraform, Ansible, or similar tools Experience operating cloud-based applications in Azure, AWS, or similar platforms Experience implementing monitoring, logging, alerting, and observability solutions Experience with security, secrets management, identity integration, and RBAC Experience deploying and operating AI-powered applications in production environments Experience with LLM-based applications, AI agents, AI orchestration frameworks, vector databases, or similar technologies Experience using AI-assisted development tools to improve infrastructure automation, deployment engineering, troubleshooting, and operational efficiency Strong written and verbal communication skills Preferred Experience deploying multi-agent systems in production Experience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or similar technologies Experience deploying and operating MCP-based systems and tool ecosystems Experience with AI observability platforms such as LangSmith, LangFuse, Arize, Phoenix, or similar tools Experience operating hybrid cloud and on-premises environments Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.  Depending on education, experience, and skill level, a variety of job opportunities might be available, Principal Software Development, and Technical Advisor Software Development. How You Work The engineer who succeeds in