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Added 3 months ago
V
Senior Machine Learning Engineer
Vancity
Vancouver, BC
- Full-time
Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes
Added 3 months ago
S
Applied AI Lead - Calgary
Sia
Calgary, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 3 months ago
S
Applied AI Lead - Edmonton
Sia
Edmonton, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 1 month ago
PC
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Hands-on experience with test automation frameworks (e.g., Selenium, Pytest, or similar).
Added 3 months ago
S
Senior Backend & Infrastructure Engineer
Scispot
Canada
- Full-time
Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks.
Added 1 month ago
OT
Développeur en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT TECHNOLOGIES India Pvt. Ltd.
Montreal, QC
- Other
Développer des outils d’automatisation et des scripts en Python et MATLAB afin d’améliorer l’efficacité des tests et leur couverture.
Added 4 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks.
Added 4 months ago
A
Marketing Growth Strategy & Analytics (Bangkok-based, relocation provided)
Agoda
Toronto, Ontario
- Full-time
Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks.
Added 4 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Coding experience in Python; including experience with libraries such as Pandas or NumPy for data manipulation and visualization
Added 3 months ago
ME
Software Developer (Junior to Intermediate)
MAD Elevator Inc
Mississauga, ON
- $72,000 to $95,000 CAD / year
- Full-time
Experience with Python for back-end services and automation
Added 2 months ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
Experience with LLM-based applications, AI agents, AI orchestration frameworks, vector databases, or similar technologies
Added 2 months ago
Quality Engineer
Scotiabank
Toronto, ON
Solid experience with one or more automation testing tools (e.g. Selenium, Playwright, Robot Framework and Cucumber)
Added 1 month ago
LT
Vision Software Developer II
LMI Technologies
Burnaby, BC
- Full-time
…platform behind the 3D sensors that are the "eyes" of industrial automation, and we have just built its core architecture. You'll be building new features, influencing architecture,…
Added 5 months ago
BA
Machine Learning Engineer - Enterprise
Boson AI
Toronto, Ontario
- $150,000 to $400,000 CAD / year
- Full-time
Proficiency in programming languages (e.g., Python, Rust, TypeScript or Go) and relevant ML frameworks (e.g., PyTorch, JAX)
Added 4 months ago
R
Senior Full Stack Developer
roomvu
Vancouver, British Columbia
- $70,000 to $75,000 CAD / year
- Full-time
Roomvu is seeking a Senior Full Stack Web Application Developer to build, maintain, and enhance customer-facing web applications, SaaS platforms, and internal business tools. The successful…
Added 4 months ago
R
Technical Lead
RAVL
Toronto, Ontario
- Full-time
Hands-on experience with CI/CD, automation, observability, and modern development practices
Added 4 months ago
R
Data Engineer
RAVL
Toronto, Ontario
- Full-time
At RAVL, we connect strategy with execution, care deeply about the people we work with, and measure success by the lasting impact we leave behind. Our purpose is to build a team that puts…
Added 4 months ago
R
Software Engineer
RAVL
Toronto, Ontario
- Full-time
Architect and implement systems using modern languages and frameworks (e.g., Java, Node.js, .NET, Go, Python)
Added 4 months ago
AP
Observability Engineer
Accommodations Plus International
Markham, ON
- $90,000 to $110,000 CAD / year
Scripting & Development: Develop automation workflows using Python, PowerShell, Unix Scripts, and REST APIs, both for in-house tooling and third-party vendor integrations.
Added 3 months ago
C
Senior Software Developer (12 months)
CIRA
Ottawa, ON
- Temporary
Proficiency in Linux environments and scripting with Bash for automation and troubleshooting.
Added 3 months ago
BA
Senior Analyst, Application Integration
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Proven expertise in ETL/ELT, data integration concepts with exposure to Python, Streamlit, REST API, SQL, XML, JSON, CSV.
Added 5 months ago
L
Vision / Robotics Engineer
Loombotic
Toronto, ON
- Full-time
…- parts that are flexible, small, and hard for traditional automation. That means vision systems that find and orient connectors and wire ends, and robot motion that picks, places, routes,…
Added 5 months ago
M
Manager, Software Engineering - Identity Platform
Marqeta
Remote, Canada
- Full-time
- Remote
The Identity platform is architected to be extensible - enabling Marqeta to expand into new markets with different regulatory frameworks (e.g., new jurisdictions, AML regimes, or licensing…
Added 2 months ago
M
Senior Security Engineer - Vulnerability & Data/SaaS Security
Marqeta
Remote, Canada
- Full-time
- Remote
Develop automation/scripts to enrich findings with ownership and asset context, reduce manual triage, and keep dashboards current.
Added 3 months ago
BT
Network Planning Geospatial & Data Integration Specialist
Beanfield Technologies Inc.
Toronto, ON
- $80,000 to $90,000 CAD / year
- Full-time
Knowledge of Python and SQL-based automation solutions are key, ensuring collaboration with corporate IT teams.

Halliburton

Senior Platform Engineer - AI Platforms & Deployment - Landmark

Calgary, AB, T2P 3V4, Canada

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Job details

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

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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