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Added 1 month ago
PC
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
SQL proficiency for data validation, test data setup, and backend verification.
Added 1 month ago
PC
Senior Java Developer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
- Contract
Experience with SQL queries and Docker/Kubernetes.
Added 1 month ago
TL
Financial Systems Specialist
The Law Office Management Association (TLOMA)
Toronto, ON
- Full-time
Working knowledge of SQL scripts, Python, VB, Power Automate, Power BI, SSIS and SSRS
Added 1 month ago
BP
Senior MSSQL/Sybase Database Administrator – VP
BNP Paribas
Montreal, QC
- Full-time
We are seeking a highly skilled Senior Database Administrator to provide expert-level support, administration, and architectural guidance for our core database estate, specifically focusing…
Added 5 months ago
FW
Full Stack Developer
First West Credit Union
City of Langley, British Columbia
- Full-time
The Full Stack Developer designs, develops, and maintains scalable web applications and robust APIs that support Tru Cooperative Bank’s digital ecosystem. This role requires proficiency in…
Added 6 months ago
VG
[VO2 Canada] Consultante BI / Salesforce Junior
VO2 GROUP
Montreal, Quebec
- Full-time
Independent French Leader in Tech and Digital Consulting
Added 4 months ago
P
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 4 months ago
A
Marketing Growth Strategy & Analytics (Bangkok-based, relocation provided)
Agoda
Toronto, Ontario
- Full-time
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for…
Added 4 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and Azure cloud…
Added 3 months ago
Data Scientist, ADE Analytics
Amazon
Vancouver, BC
- 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Added 2 months ago
Business Intelligence Specialist (with Qlik and/or C# experience)
CAA Club Group
Thornhill, ON
Develop, test and deploy SQL Server Integration packages, wite SQL queries, Create SQL execution packages and ensure data load integrity, Utilize SQL Server Agent
Added 3 months ago
ME
Software Developer (Junior to Intermediate)
MAD Elevator Inc
Mississauga, ON
- $72,000 to $95,000 CAD / year
- Full-time
As a Junior Software Developer, you will collaborate with our Principal Software Developer to build, maintain, and enhance code for both existing and new projects.
Added 2 months ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
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…
Added 2 months ago
PL
Business Data Analyst - Retro Administration
PartnerRE Ltd.
Toronto, ON
- $65,000 to $85,000 CAD / year
Proficiency in SQL, Python and Microsoft Office; VBA preferred.
Added 5 months ago
A
NPI-LCE Test Engineer, Sr.
Adtran
Ottawa, Ontario
- Full-time
Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the…
Added 4 months ago
PC
Industrial Automation Support Specialist - NEXIA
Powerhouse Controls Ltd
Cambridge, Ontario
- Full-time
Working knowledge of SQL and relational databases, including writing and troubleshooting queries to support system diagnostics and reporting.
Added 4 months ago
R
Data Engineer
RAVL
Toronto, Ontario
- Full-time
roficiency in SQL and one or more programming languages (Python, Java, or Scala)
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 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
Added 3 months ago
A
Senior Professional Services Consultant
Ataccama
Toronto, ON
- Full-time
Advanced hands-on data management and relational database skills, with advanced-level SQL
Added 3 months ago
AC
Business Operations Analyst, Talent and Business Systems
Agentis Capital Advisors
Vancouver, BC
- $72,000 to $75,000 CAD / year
- Full-time
Agentis Capital Advisors is a leading global financial advisor with a reputation for delivering unparalleled value and advice to its clients. The firm has been the recipient of numerous…
Added 2 months ago
Senior Associate Engineer, Security Platforms Engineering Support
Scotiabank
Toronto, ON
5 years of experience working with Linux, Shell, Python, SQL, Ansible, etc
Added 3 months ago
R
Risk Strategist
Relay
Remote, Canada
- Full-time
- Remote
You’re proficient in SQL (joins, aggregations, window functions, subqueries) and can write efficient queries with minimal supervision
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS)
Added 6 months ago
MI
Data Analyst
Magna International
Edmonton, AB
- £40,000 to £50,000 GBP / year
- Full-time
Strong proficiency in Excel, SQL, and data visualisation tools such as Tableau or Power BI.

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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