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Added 1 min ago
Java Backend developer - Java 17, DevSecOps, Kubernetes
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Added 1 hour ago
DevOps Engineer
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Contract
Title: Azure DevOps Engineer – Azure DevOps, Go (Programming Language)
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Added 2 hours ago
Senior Data Engineer
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Added 2 hours ago
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IFG - International Financial Group

DevOps Engineer

Vancouver, BC, Canada
Greater Vancouver, BC, Canada

Job type: Contract
Apply by: Oct 28, 2026
Experience: Minimum 5+ years of experience needed
Posting language: English
Posted: Sep 28, 2026

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Applications open in a new tab.

Original job description

Title: Azure DevOps Engineer – Azure DevOps, Go (Programming Language)

Location: Vancouver, BC

Job Description

We are looking for an experienced Sr DevOps Engineer with strong expertise in Azure DevOps (ADO), CI/CD pipelines, YAML, automated workflows, and developer tooling. The ideal candidate will have experience building and optimizing engineering workflows in large-scale environments and a strong understanding of how AI agents and agentic AI can automate software development and DevOps activities.

This role will focus on designing, implementing, and improving workflows that support the software development lifecycle - from documentation and coding through testing, building, deployment, and release - with an emphasis on automation and AI-driven engineering workflows.

Key Responsibilities

Minimum 5+ years of experience needed
Design, develop, maintain, and optimize CI/CD pipelines using Azure DevOps and YAML.
Go (Golang) is good to have
Build and manage automated workflows across the software development lifecycle, including code development, testing, build, deployment, and release processes.
Develop and maintain Azure DevOps tooling, pipeline infrastructure, templates, and reusable automation components.
Identify opportunities to replace manual engineering processes with automated and agent-driven workflows.
Design workflows that leverage AI agents / Agentic AI to assist with activities such as:
Technical documentation generation and maintenance.
Code generation and code modification.
Automated code review and analysis.
Test creation and execution.
Build validation and troubleshooting.
Deployment preparation and release activities.
Evaluate how many existing engineering workflows can be driven or augmented by AI agents and identify opportunities to increase automation.
Integrate AI-enabled capabilities into existing DevOps pipelines and engineering tooling.
Develop workflows where multiple specialized agents can support different stages of the development lifecycle, such as documentation, coding, testing, and deployment.
Partner with software engineers, platform engineers, and other technical teams to understand day-to-day development workflows and identify areas for agentic automation.
Troubleshoot and resolve issues involving Azure DevOps pipelines, builds, releases, deployments, and automation workflows.
Create reusable pipeline templates and automation patterns that can be adopted across engineering teams.
Monitor pipeline performance, reliability, and execution and continuously improve the developer experience.
Establish best practices for CI/CD, workflow automation, DevOps tooling, and AI-assisted engineering.
Document pipeline architecture, automation processes, tooling, and operational procedures.
Collaborate with distributed engineering teams across Canada and the US.

Required Qualifications

Strong hands-on experience with Azure DevOps (ADO).
Strong experience designing and maintaining CI/CD pipelines using YAML.
Experience defining, configuring, and maintaining automated engineering workflows.
Experience with DevOps tooling across multiple stages of the software development lifecycle.
Practical understanding of how AI agents or Agentic AI can be applied to software engineering and DevOps workflows.
Experience identifying manual engineering activities that can be automated through AI-driven or intelligent workflows.
Experience with build, test, deployment, and release automation.
Strong troubleshooting and problem-solving skills across CI/CD environments.
Experience working with distributed technical teams across Canada and the US.
Excellent communication, collaboration, and technical documentation skills.

Preferred Qualifications

Experience working with AI agents, Agentic AI, generative AI, or AI-assisted developer tools.
Experience integrating AI capabilities into CI/CD pipelines or developer tooling.
Experience creating multi-step or multi-agent workflows for software engineering processes.
Experience with Azure engineering environments and proprietary developer tools.
Familiarity with Golang or other programming languages for extending DevOps tooling and automation.
Experience developing reusable automation frameworks, pipeline templates, or internal developer platforms.
Experience measuring workflow automation, including the percentage of engineering workflows that are automated or agent-driven

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More about this job

Responsibilities

Design, maintain, and improve Azure DevOps YAML pipelines, reusable tooling, and automated workflows across the software development lifecycle. Identify and integrate AI-agent capabilities for documentation, coding, testing, builds, deployments, and releases while collaborating with distributed engineering teams.

Requirements

Requires at least five years of experience, strong hands-on Azure DevOps and YAML CI/CD expertise, and experience automating engineering workflows across build, test, deployment, and release stages. Candidates should understand how AI agents can support software engineering and DevOps, and have strong troubleshooting, communication, collaboration, and documentation skills; Go is preferred.

Skills

Azure DevOps
CI/CD Pipelines
YAML
Workflow Automation
DevOps Tooling
AI Agents
Agentic AI
Generative AI
Build Automation
Test Automation
Deployment Automation
Release Management
Pipeline Troubleshooting
Developer Experience
Technical Documentation
Go

Visa sponsorship

Not detected in the job text

Keywords

Azure DevOps
ADO
CI/CD
YAML
Go
Golang
AI Agents
Agentic AI
Generative AI
Developer Tooling
Workflow Automation
Pipeline Templates
Code Generation
Automated Code Review
Test Creation
Build Validation
Deployment Automation
Release Processes
Engineering Workflows
DevOps
Developer Experience
Pipeline Infrastructure
Distributed Engineering Teams

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