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Added 2 months ago
Senior Data Engineer
ClickUp
Canada
Full-time
We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for…
Added 25 days ago
Senior Software Engineering Lead - Landmark
Halliburton
Calgary, AB
The role suits a senior software engineer with proven team leadership experience, or an experienced team lead ready to take on broader scope and formal people management. Your scope varies…
Added 25 days ago
Software Engineering Lead - Landmark
Halliburton
Calgary, AB
The role suits an experienced software engineer who is ready to take on the delivery and growth of a team. Candidates new to the team lead role are welcome, especially if you have led a…
Added 3 months ago
Senior Software Engineer
Clutch
Toronto, Ontario
$160,000 to $200,000 USD / year
Full-time
Microservices architecture using Docker, Terraform, AWS ECS, and other AWS services
Added 3 months ago
Lead Marketing Data & Analytics Engineer
Jetson
North Vancouver, British Columbia
Full-time
Strong SQL and Python. Deep SQL - you think in SQL, not around it. Python for the integrations Fivetran can't handle, for the stats SQL can't do cleanly, and for everything in between.
Added 3 months ago
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
Contract
Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines that run natively…
Added 1 month ago
Software Engineer II (AI Integration)
TD
London, ON · Toronto, ON
Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 1 month ago
Software Engineer III (AI Integration)
TD
London, ON · Toronto, ON
Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 1 month ago
Software Developer - Data Reliability
Squarepoint Capital
Montreal, QC
As a Reliability Software Engineer on the Data team, you will be central to the infrastructure and operations that keep Squarepoint's data ecosystem running at scale. Our mandate is broad…
Added 3 months ago
Senior Data Engineer
Techedin
Toronto, Ontario
Full-time
Strong experience with Python, Spark (PySpark, Spark SQL), and SQL
Added 11 days ago
Senior Data Engineer
AppDirect
Montreal, QC
Snowflake Expertise (core skillset): 2+ years building and operating production data pipelines and models on Snowflake using SQL, Python, and dbt - shipping reliable ELT/transformations,…
Added 1 month ago
Senior Data Engineer
ShyftLabs
Toronto, ON
Full-time
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a…
Added 1 month ago
AI Automation Engineer
Pacific Smoke International Inc
Markham, ON
$100,000 to $120,000 CAD / year
…place for you! PSI is nothing without people who build, design, and support it. We’re looking for an AI Automation Engineer to join our scaling…
Added 3 months ago
Senior Fullstack Engineer (Node. js)
Experity
Chiasson Office, NB
Full-time
Advanced to Expert-level proficiency in public cloud architectures (AWS, Azure, or GCP) Microservices and distributed systems design.
Added 5 months ago
Senior Software QA Engineer
Comm100
Vancouver, British Columbia
Full-time
Proficient in using Python for test script development; Python, automated testing, and agile project experience.
Added 3 months ago
Data Engineer
KPI Sight
Toronto, Ontario
$120,000 CAD / year
Full-time
The Data Engineer will design, build, and maintain data pipelines that power KPI Sight’s dashboards and analytics. Much of this role will involve migrating outdated pipelines to a new…
Added 1 month ago
Tech Lead - ToolHound
Beacon Software
Remote, Canada
Full-time · Remote
A genuine generalist ("jack of all trades"). You're T-shaped, deep in .NET now, but you pick up new languages, stacks, and clouds quickly and enjoy it. You can move across web, mobile,…
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 5 months ago
Senior Data Engineer
Wellington-Altus
Toronto, ON · Winnipeg, MB · AB
Full-time
Reporting to the Senior Manager, Data Engineering, the Senior Data Engineer will be responsible for designing, building, and deploying scalable data processing pipelines, and data platform…
Added 1 month ago
Staff Software Engineer
RBC
Calgary, AB
Full-time
We're looking for an experienced Staff Software Engineer who will bring focus and subject-matter expertise around designing and implementing robust, scalable AI services. This is a unique…
Added 1 month ago
Senior Machine Learning Engineer
Vancity
Vancouver, BC
Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 10 days ago
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
Contract
SQL proficiency for data validation, test data setup, and backend verification.
Added 3 months ago
Data Engineer
PartsAvatar.ca
Montreal, Quebec
Full-time
We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data…
Added 3 months ago
Principal Software Engineer
PointClickCare
Mississauga, Ontario
$156,000 to $174,000 CAD / year
Full-time
PointClickCare is searching for a Principal Software Engineer who will contribute to best practice application development by writing and rigorously defending production-grade code on a…
Added 1 month ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
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…

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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