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Added 15 days ago
RF System Verification Engineer
Actalent
Sainte-Anne-de-Bellevue, QC
Contract
…development programs. The team is expanding significantly, with approximately 30 engineers supporting payload V&V, AIT, RF support, and platform/satellite verification activities. The…
Added 15 days ago
Senior AI Engineer - Toronto, ON
Pozent Corporation
Toronto, ON
Contract
We are seeking an experienced AI Engineer to design and deliver scalable GenAI solutions. This subcontractor role focuses on building production�?ready AI products using Python, React, and…
Added 3 months ago
Senior Software Engineer
Epoch
Canada
Full-time
Collaborate deeply with Product and Design to refine ambiguous requirements into clear technical plans
Added 3 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
$150,000 to $190,000 CAD / year
Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 2 months ago
Staff API Engineer
Equinix
Toronto, ON
Full-time
Works with product teams, analysts, and other engineers to design and build systems and application software that enable a robust, usable API ecosystem. Implements and operates API…
Added 2 months ago
Senior Digital Twin Engineer (NVIDIA Omniverse / OpenUSD
Arcadion
Ottawa, ON
Contract
Seniority: Senior (6+ years in real-time 3D / simulation; Omniverse experience essential) Team fit: Owns the 3D twin platform; works alongside your existing cloud, AI, and frontend…
Added 2 months ago
Lead, AI/Machine Learning Engineer
OMERS
Toronto, ON · Head Office Toronto
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 2 months ago
Senior Machine Learning Engineer
Vancity
Vancouver, BC
Full-time
As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support…
Added 2 months ago
Senior Customer Support Engineer
Nokia
Canada
Full-time
…support team is looking for an additional 4th level support engineer in Sunnyvale, CA. You will have the possibility to grow towards a L2/L3 IP network expert and as such become a key…
Added 15 days ago
Senior Java Developer (with Python, AWS and Terraform) - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
$65 to $85 USD / hour
Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Added 2 months ago
Senior Backend & Infrastructure Engineer
Scispot
Canada
Full-time
We are looking for a senior backend and infrastructure engineer who treats production as a product.
Added 15 days ago
Layout Design, Engineer
Synopsys Inc
Ottawa, ON
Full-time
Automation does not intimidate you. Whether it is Python, PCL, or something else, you see scripting as a tool to make repetitive work faster and more accurate. You want to learn, you want…
Added 15 days ago
Senior Software Engineer
ecobee
Toronto, ON
Full-time
You will work closely with Product and other engineering teams to shape the roadmap and consistently improve the platform, with occasional collaboration with marketing and sales partners.
Added 15 days ago
Senior Software Engineer - Generative Engine Tools
Electronic Arts (EA)
Vancouver, BC
Full-time
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into core engine architecture. You will translate ideas…
Added 15 days ago
Senior Software Engineer - Backend
Electronic Arts (EA)
Vancouver, BC
Full-time
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into backend architecture. You will translate ideas from…
Added 15 days ago
Senior Physical Design Engineer
AMD
Markham, ON
$105,600 to $158,400 USD / year
Full-time
As a Design Engineer, you will be working with a diverse team of physical design engineers, RTL design engineers, and managers from NBIO IP team. You will drive physical implementation of…
Added 3 months ago
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, Quebec
Full-time
…Unit8 is expanding into the Canadian market. We are seeking a Senior Forward Deployed Engineer who will work directly with customers, owning delivery strategy and…
Added 3 months ago
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
Contract
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 2 months ago
Staff Site Reliability Engineer
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
We’re looking for a Staff Site Reliability Engineer to join our Data team in Canada.
Added 1 month ago
Sr. Staff Physical Design Engineer
Lightmatter
Toronto, ON
We are seeking a highly skilled Senior Physical Design Engineer to work on the implementation of complex digital blocks. In this role, you will leverage your expertise in advanced process…
Added 1 month ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
…applications move from development to production, working closely with software engineers, AI engineers, visualization engineers, and architects to build secure, scalable, and repeatable…
Added 15 days ago
Senior Cloud Software Engineer
Harvey Nash
Vancouver, BC
Full-time
We're partnering with a scale-up Physical AI company developing intelligent software and hardware systems deployed in real world environments. As the company continues to scale, they're…
Added 3 months ago
Senior Platform Engineer, AI
RAVL
Toronto, Ontario
Full-time
These roles span both current initiatives and pipeline hiring, with a focus on building secure, scalable, and production-ready AI platforms.
Added 3 months ago
Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
Full-time
We’re hiring Senior ML Platform Engineers (Contract) to contribute to building and scaling machine learning platforms across a range of client engagements. This work includes developing ML…
Added 3 months ago
Observability Engineer
Accommodations Plus International
Markham, ON
$90,000 to $110,000 CAD / year
This senior role owns the design, integration, and administration of the AWS cloud-based applications and infrastructure observability toolchain, Datadog, JIRA Service Management (JSM), and…

Halliburton

Senior Platform Engineer - AI Platforms & Deployment - Landmark

Calgary, AB, T2P 3V4, Canada

Experience: 7+ years of software engineering, DevOps, platform engineering, or site reliability engineering experience
Posting language: English
Posted: Aug 22, 2026

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Original job 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
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

700 9th Ave SW Suite 2000, Calgary, Alberta, T2P 3V4, Canada

Job Details

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.

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More about this job

Responsibilities

Responsible for the deployment, operation, and reliability of next-generation AI-enabled software platforms and agentic AI frameworks. This includes designing CI/CD pipelines, managing Kubernetes environments, and implementing observability and security standards.

Requirements

Requires a bachelor's degree and 7+ years of experience in software, DevOps, or platform engineering with deep expertise in Kubernetes and cloud platforms. Proven experience in deploying AI-powered applications and LLM-based systems in production environments is essential.

Skills

Kubernetes
CI/CD
Infrastructure-as-Code
Terraform
Azure
AWS
AI Platform Operations
Python
TypeScript
Docker
Observability
LLM Deployment
DevOps
SRE
Vector Databases
Agentic AI

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
Docker
Helm
Terraform
Ansible
Argo CD
Flux
GitHub Actions
Azure DevOps
PostgreSQL
SQL Server
MongoDB
Redis
Vector Databases
Prometheus
Grafana
OpenTelemetry
ELK
Datadog
TypeScript
Python
Java
C#
Go
Angular
React
Node.js
Azure OpenAI
Semantic Kernel
LangGraph

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