Jobs in Canada

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Added 4 months ago
S
Senior Backend & Infrastructure Engineer
Scispot
Remote, Canada
- $80,000 to $120,000 CAD / year
- Full-time
- Remote
Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks.
Added 4 months ago
SF
Technical Research Scientist
Simon Fraser University
Burnaby, British Columbia
- Full-time
P roficiency in data acquisition, analysis, and automation (e.g., Python, MATLAB).
Added 3 months ago
Software Developer - Data Reliability
Squarepoint Capital
Montreal, QC
Python: 3+ years of hands-on experience programming in Python, and familiarity with version control systems such as Git
Added 3 months ago
W
Senior Machine Learning Developer
Weir
Vancouver, BC
- Full-time
Proficiency in Python programming and AI model prototyping, with hands-on experience using frameworks such as TensorFlow, PyTorch and OpenCV
Added 2 months ago
Modern Workplace Engineer - Intune & Endpoint Management
Scotiabank
Toronto, ON · Scarborough, ON
Experience with Python, REST APIs, and cloud automation.
Added 2 months ago
DI
Python Developer
Dawn InfoTek
Toronto, ON
- Contract
Work Model: Hybrid- 1 day in office
Added 2 months ago
A
Test/Lab Engineer
Actalent
Oakville, ON
- Contract
Interface with development and test teams to understand lab, hardware, and automation requirements.
Added 4 months ago
T
Senior Automation Engineer
Tubi
Toronto, Ontario
- Full-time
You will collaborate closely with QA engineers and developers to build scalable test frameworks, improve automation coverage, and contribute to the efficiency of our multi-platform release…
Added 5 months ago
T
Senior AI Productivity Analyst, Data Analytics
Techedin
Toronto, Ontario
- $60 to $70 CAD / hour
- Full-time
Proficiency in Python or R for data analysis, statistical modeling, and automation.
Added 3 months ago
B
Senior Consultant, Migration Engineer
BDO
Toronto, ON
- $84,000 to $128,000 CAD / year
- Full-time
Experience with migration tools, automation frameworks, and infrastructure-as-code solutions.
Added 3 months ago
M
Senior Software Developer, API Platform
Miovision
Remote, Canada
- $150,000 to $170,000 CAD / year
- Full-time
- Remote
…development experience in Kotlin and/or Java (preferred), or Go, Python, or C, paired with hands-on experience in cloud-native ecosystems, AWS infrastructure, and…
Added 5 months ago
E
Senior Software Engineer
Epoch
Canada
- Full-time
Collaborate deeply with Product and Design to refine ambiguous requirements into clear technical plans
Added 5 months ago
E
Senior Engineer QA
ecobee
Toronto, Ontario
- Full-time
Our Embedded QA team is looking for a Senior QA Engineer to work within the Device Platform group. You’ll work closely with the Product Stakeholders, Firmware Developers, Hardware…
Added 3 months ago
E
Concepteur logiciel I - Tests / Software Designer I - Tests
EXFO
Montreal, QC · Quebec, QC
- Full-time
Contribute to defining testing strategies, analyzing requirements and designing test automation frameworks;
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 2 months ago
PC
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Skills - Must Have
Added 4 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 2 months 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 5 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Location: Downtown Montreal, Quebec (Hybrid: 3 days in office, 2 days remote) · Hybrid work schedule (3 days in office, 2 days work from home)
Added 5 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 5 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Must have development experience in Azure Integration Services
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 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 5 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…

Halliburton

Senior Platform Engineer - AI Platforms & Deployment - Landmark

Calgary, AB, T2P 3V4, Canada

Apply on jobs.halliburton.com About employer

Applications open in a new tab.

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.

Apply on jobs.halliburton.com About employer

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

Seniority

Senior

Tools

Kubernetes
Docker
Terraform
Ansible
Argo CD
GitHub Actions
Azure DevOps Pipelines
Prometheus
Grafana
Datadog

Languages

English

Fields of study

Computer Science
Software Engineering
Information Systems

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Work requirements

Jobs in Canada