Senior Platform Engineer - AI Platforms & Deployment - Landmark
A senior platform engineer at Halliburton's Landmark office in Calgary deploys, operates, and ensures the reliability of AI-enabled geoscience software platforms, building CI/CD pipelines, Kubernetes/IaC infrastructure, and observability for agentic AI applications running on Azure and AWS.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Part time
- Experience
- 7+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or 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 or Ansible
- 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, or vector databases
- Experience using AI-assisted development tools for infrastructure automation and troubleshooting
- Strong written and verbal communication skills
Nice to have
- Experience deploying multi-agent systems in production
- Experience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK
- Experience deploying and operating MCP-based systems and tool ecosystems
- Experience with AI observability platforms such as LangSmith, LangFuse, Arize, or Phoenix
- Experience operating hybrid cloud and on-premises environments
- Experience mentoring less experienced engineers
- Energy industry experience
Full description
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
About the Role
You will be responsible for the deployment, operation, and reliability of next-generation AI-enabled software platforms. Our products combine modern web applications, cloud-native services, and agentic AI frameworks that coordinate multiple specialized agents and tools to automate complex geoscience workflows.
This role sits at the intersection of software engineering, infrastructure engineering, AI platform operations, and DevOps. You will help define how applications move from development to production, working closely with software engineers, AI engineers, visualization engineers, and architects to build secure, scalable, and repeatable deployment workflows.
You will design and maintain CI/CD pipelines, deployment automation, infrastructure-as-code, observability systems, and runtime environments that support both traditional enterprise applications and modern AI-driven systems.
You will build software for the following domain:
- Geoscience - geology, geophysics, or petrophysics
Technologies used may include:
- TypeScript, Python, Java, C#, and Go
- Angular, React, and Node.js
- Azure OpenAI and other AI platforms
- Agentic AI frameworks and orchestration platforms
- MCP-based architectures and tool ecosystems
- Azure and AWS cloud platforms
- Kubernetes, Docker, Helm
- Terraform, Ansible, Argo CD, Flux, GitHub Actions, Azure DevOps Pipelines
- PostgreSQL, SQL Server, MongoDB, Redis, Vector Databases
- Prometheus, Grafana, OpenTelemetry, ELK, Datadog, and other observability platform
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