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 chance of working for one of the world’s largest providers of products and services to the global energy industry.About the RoleYou 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 petrophysicsTechnologies used may include:TypeScript, Python, Java, C#, and GoAngular, React, and Node.JsAzure OpenAI and other AI platformsAgentic AI frameworks and orchestration platformsMCP-based architectures and tool ecosystemsAzure and AWS cloud platformsKubernetes, Docker, HelmTerraform, Ansible, Argo CD, Flux, GitHub Actions, Azure DevOps PipelinesPostgreSQL, SQL Server, MongoDB, Redis, Vector DatabasesPrometheus, Grafana, OpenTelemetry, ELK, Datadog, and other observability platformJob DutiesDesign and maintain CI/CD pipelines for web applications, services, and AI platformsBuild and operate Kubernetes-based environments across development, testing, and productionDevelop Infrastructure-as-Code solutions that enable reliable and repeatable deploymentsDesign deployment architectures for cloud, hybrid, and on-premises environmentsDeploy and operate AI-powered applications, agent runtimes, MCP servers, orchestration services, and supporting infrastructureImplement monitoring, logging, tracing, alerting,



and operational dashboardsEstablish platform reliability, security, observability, and operational standardsAutomate build, deployment, validation, and release processesTroubleshoot and resolve production incidents across applications, infrastructure, and cloud environmentsApply security best practices and participate in architecture and security reviewsQualificationsBachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent experience7+ years of software engineering, DevOps, platform engineering, or site reliability engineering experienceProven experience owning production deployments for business-critical applicationsDeep experience with Kubernetes and containerized application deploymentExperience designing and maintaining enterprise CI/CD pipelinesStrong experience with Infrastructure-as-Code technologies such as Terraform, Ansible, or similar toolsExperience operating cloud-based applications in Azure, AWS, or similar platformsExperience implementing monitoring, logging, alerting, and observability solutionsExperience with security, secrets management, identity integration, and RBACExperience deploying and operating AI-powered applications in production environmentsExperience with LLM-based applications, AI agents, AI orchestration frameworks, vector databases, or similar technologiesExperience using AI-assisted development tools to improve infrastructure automation, deployment engineering, troubleshooting, and operational efficiencyStrong written and verbal communication skillsPreferredExperience deploying multi-agent systems in productionExperience with AI orchestration frameworks such as Semantic Kernel, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or similar technologiesExperience deploying and operating MCP-based systems and tool ecosystemsExperience with AI observability platforms such as LangSmith, LangFuse, Arize, Phoenix,



or similar toolsExperience operating hybrid cloud and on-premises environmentsExperience mentoring less experienced engineersEnergy industry experience is not required but is a strong plusCandidates 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 WorkThe engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time.Why LandmarkWe build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on.We offer competitive compensation, a strong career path, and a role where you own what you build, and your impact is visible.Compensation is competitive and commensurate with experience.Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.Location700 9th Ave SW Suite 2000,Calgary,Alberta,T2P 3V4, CanadaJob DetailsRequisition Number: Experience Level: Experienced HireJob Family: Engineering/Science/TechnologyProduct Service Line: Landmark Software & ServicesFull Time / Part Time: Full-timeAdditional Locations for this position:Compensation InformationCompensation is competitive and commensurate with experience.#J-18808-Ljbffr

📌 Senior Platform Engineer - Ai Platforms & Deployment - Landmark (Calgary)
🏢 Halliburton
📍 Calgary