Select how often (in days) to receive an alert:

Date: Jul 24, 2026

Location: Calgary, AB, CA, T2P 3V4

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 prospect 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 up-to-date 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

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

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 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 Landmark

We 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.

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.

Location

Requisition Number:

210378 Experience Level:

Experienced Hire Job Family:

Engineering/Science/Technology Product Service Line:

Landmark Software & Services Full Time / Part Time:

Full Time

Additional Locations for this position:

Compensation Information Compensation is competitive and commensurate with experience.

Job Segment:

Cloud, Testing, ERP, Computer Science, Database, Technology

#J-18808-Ljbffr

📌 Senior Platform Engineer - AI Platforms & Deployment - Landmark (Winnipeg)
🏢 Halliburton Energy Services
📍 Winnipeg