Senior Platform Engineer - AI Platforms & Deployment - Landmark
Core
Design, maintain, and operate CI/CD pipelines, Kubernetes environments, and Infrastructure-as-Code for next-generation AI-enabled software platforms serving the geoscience industry.
Role type
Senior Platform Engineer (AI Platforms & Deployment)
Builds
Secure, scalable, and repeatable deployment workflows for cloud-native services and agentic AI frameworks
Domain
Geoscience (geology, geophysics, petrophysics) + Cloud Infrastructure + AI Platform Operations
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Infrastructure-as-Code (Terraform, Ansible), CI/CD pipelines, Cloud platforms (Azure, AWS), Observability, Security (RBAC, secrets management), AI application deployment, LLM/Agent orchestration
Preferred skills
Multi-agent system deployment, AI orchestration frameworks (Semantic Kernel, LangGraph, CrewAI), MCP-based systems, AI observability platforms, Hybrid cloud operations, Mentoring
Technologies
TypeScript, Python, Java, C#, Go, Angular, React, Node.js, Azure OpenAI, Kubernetes, Docker, Helm, Terraform, Ansible, Argo CD, Flux, GitHub Actions, Azure DevOps, PostgreSQL, SQL Server, MongoDB, Redis, Vector Databases, Prometheus, Grafana, OpenTelemetry, ELK, Datadog
Responsibilities
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; Troubleshoot and resolve production incidents across applications, infrastructure, and cloud environments
Seniority
Senior, hands-on IC