ab senior devops engineer Jobs – 52 Openings This Week

AI Systems Engineer
PrecisionAI —Calgary, AB
- Full-time
- Hybrid work
- DevOps
- AWS
- APIs
2d
Technical Specialist - Detection, Engineering and Automation
Fidelity International —Kingswood, AB
- Full-time
- Azure
- DevOps
- Microsoft Office
Enterprise Platform Engineer - Edmonton, AB - PESS
NavitasPartners —Edmonton, AB
- DevOps
- Analysis skills
- Continuous improvement
Quick apply
14d
Enterprise Platform Engineer - Edmonton, AB - PESS
NavitasPartners —Stony Plain, AB
- DevOps
- Analysis skills
- Continuous improvement
Quick apply
14d
Sr. Storage Analyst - GOAPRDJP00000710
Source Code —Edmonton, AB
- Weekends as needed
- Azure
- Management
- Computer Science
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Cloud Security Engineer – BFSI - 0604 AS #6
NavitasPartners —Sherwood Park, AB
- From $30 an hour
- Azure
- DevOps
- AWS
Quick apply
Staff AI Security Researcher (Global Security)
Royal Bank of Canada —Calgary, AB
- Full-time
- DevOps
- Research
- Java
Principal AI Security Researcher (Global Security)
Royal Bank of Canada —Calgary, AB
- Full-time
- DevOps
- Research
- Java

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AI Systems Engineer
PrecisionAI —Calgary, AB
Familiarity with model deployment, prompt engineering, evaluation, and monitoring in real-world applications. Contribute to the development and external release…
2d
Enterprise Platform Engineer - Edmonton, AB - PESS
NavitasPartners —Edmonton, AB
Collaborate with architects, engineering teams, and business stakeholders. Note: Prior experience in BFSI, Public Sector, or Telecom is non-negotiable.
Quick apply
14d

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Senior Cloud Engineer
BMO Financial Group —Ontario
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
$75,900–$141,900 a year
Senior DevOps Engineer
ZayZoon —Toronto, ON
Collaborate extensively with data engineers to facilitate data warehouse development, ELT, and ETL. Own and develop ZayZoon's infrastructure-as-code using…
$132,000–$160,000 a year
8d

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AI Systems Engineer

PrecisionAI
Calgary, AB

Apply Now

Job details

Full-time
2 days ago

Skills

Law
DevOps
AWS
Docker
APIs
S3
AI
Python

Full job description

Calgary

Engineering

Hybrid

Full-time

About Precision AI

Precision AI is on a mission to transform agriculture with cutting-edge drone technology. Our aerial spraying systems help farmers target weeds with surgical precision, reducing chemical use and increasing yields. We’re a fast-moving, impact-driven team looking for people who want to help build the future of farming.

Role Overview

The AI Systems Engineer at Precision AI will focus on designing, building, and deploying agentic AI tools and systems, both for internal use and directly into the hands of farmers and agricultural operators. This role sits alongside our Infrastructure & DevOps Engineer on the core software team and will contribute to one of two critical tracks: our Velocity Engine release (our internal AI model) or the external deployment of AI models and tools to end users.

We're looking for someone who has lived and breathed agentic systems; or, if you're newer to agents, an exceptional software developer with a deep passion for AI and a drive to build production-grade systems in a fast-moving startup.

Working closely with AI/ML and Engineering teams, this role requires someone comfortable operating in ambiguous, fast-paced startup environments without relying on formal processes or extensive documentation.

This role is hybrid working out of our Southeast Calgary office 3 days per week.

Key Responsibilities

Agentic AI Development

Design, build, and iterate on agentic AI tools and workflows using orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen); deploy production-grade systems used internally and by external users.
Contribute to the development and external release of AI models and tools into the hands of farmers and agricultural operators.
Support or lead work on the Velocity Engine depending on team priorities and business needs at time of hire.

Production Deployment & Operations

Own end-to-end deployment of AI systems from development through staging to production; ensure systems are reliable, observable, and operationally sound.
Monitor AI system performance, respond to incidents, and implement improvements in a high-velocity startup environment.
Collaborate with the Infrastructure & DevOps Engineer to ensure AI workloads are supported by scalable, secure cloud infrastructure.

Quality & Collaboration

Implement evaluation frameworks, testing, and monitoring for AI systems in production; track model performance, cost, and reliability over time.
Collaborate with AI/ML and product teams on requirements, integration needs, and tooling to accelerate delivery.

Relevant Experience (Ideal Candidate Background)

Hands-on experience building and deploying agentic AI systems (LLM-based agents, tool use, multi-step reasoning pipelines, RAG, orchestration frameworks) in production environments — or — strong software engineering fundamentals with demonstrated passion for AI and agents.
Proficiency in Python and modern AI/ML libraries; experience designing and consuming APIs in production contexts.
Familiarity with model deployment, prompt engineering, evaluation, and monitoring in real-world applications.
Experience working with cloud platforms (AWS preferred) and containerized (Docker) application deployment.
Comfortable operating in ambiguous, resource-constrained startup environments with limited documentation and process.

What You Bring

Genuine obsession with AI and agents; you follow the frontier and know what's worth building with.
Bias for shipping — you build production systems, not demos or prototypes, and take ownership through deployment and beyond.
Ability to operate across internal tooling and external product work; comfortable switching contexts without losing quality.
Collaborative yet autonomous working style; excited by breadth and impact over narrow specialization.

Bonus

Startup background with end-to-end ownership of AI product or tooling development.
Exposure to agricultural technology, robotics, autonomous systems, or developer platforms.
Familiarity with AWS infrastructure (Lambda, ECS, S3, CloudWatch, etc.) in production AI contexts.
Open-source contributions that demonstrate ownership — published, maintained, or supported a project.

Not Sure You Meet Every Requirement?

Research shows that some candidates, especially women, underrepresented groups, and career changers, are less likely to apply for a role unless they meet 100% of the listed qualifications. At Precision AI, we believe the right person can grow into the role, and we value potential as much as experience. If you’re excited about our mission and think you could contribute, we encourage you to apply, even if you don’t check every single box.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other status protected by law.

Apply Now

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senior devops engineer jobs in ab

AI Systems Engineer

Technical Specialist - Detection, Engineering and Automation

Enterprise Platform Engineer - Edmonton, AB - PESS

Enterprise Platform Engineer - Edmonton, AB - PESS

Sr. Storage Analyst - GOAPRDJP00000710

Cloud Security Engineer – BFSI - 0604 AS #6

Staff AI Security Researcher (Global Security)

Principal AI Security Researcher (Global Security)

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