Senior AI Software Developer

Quest Software

. Design and implement autonomous AI workflows that automate software development, maintenance, support, and operational activities .

Posted 10/8/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing autonomous AI workflows and multi-agent systems for software development and operational activities. Proficient in integrating AI technologies into CI/CD pipelines and delivering measurable outcomes in productivity and cost reduction.

Highest-signal resume keywords

C# ProgrammingAI Workflow DesignMulti-Agent SystemsCI/CD IntegrationAI Evaluation Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI Coding AgentsAutonomous Software DevelopmentVulnerability RemediationAutomated Code ReviewYAML CI/CD PipelinesAI ObservabilityAgent GovernanceRoot-Cause AnalysisBug Investigation

Tools & Technologies

GitHub CopilotClaude CodeAzure DevOpsJenkinsAikido SecurityOpenAI AgentsCrewAIAutoGenLangGraphCursor

Industry Keywords

AI-Driven Support AutomationOperational EngineeringDevOpsSoftware EngineeringCustomer Issue Resolution

Tech Stack

Tools & technologies

AzureJenkins.NET

About the role

Key responsibilities & impact

Design and implement autonomous AI workflows that automate software development, maintenance, support, and operational activities
Build multi-agent systems for root-cause analysis, bug investigation, code modification, testing, validation, and deployment with minimal human intervention
Create AI-driven support automation that analyzes customer issues, proposes resolutions, implements fixes, and validates outcomes
Develop autonomous vulnerability remediation workflows using tools such as Aikido Security and AI-powered code agents
Establish frameworks for repetitive engineering activities across multiple products and technology stacks
Create reusable agent architectures, prompts, workflows, guardrails, evaluation frameworks, and governance models
Design centralized AI management and observability platforms for monitoring, orchestration, and governance at scale
Measure and improve automation effectiveness, engineering productivity, support efficiency, remediation time, and operational cost reduction
Identify opportunities to transition manual engineering processes into AI-managed workflows
Drive adoption of AI-native operational models that reduce dependence on product-specific expertise

Requirements

What you’ll need

Completion of a computer science undergraduate degree or equivalent practical experience
6 or more years of professional software development experience
Strong hands-on C# and .NET experience
2–3 years or demonstrated expertise building and operating agentic AI systems in production environments
Deep hands-on experience with AI coding agents, autonomous software development workflows, and multi-agent orchestration platforms
Experience with GitHub Copilot, Claude Code, Cursor, Windsurf, OpenHands, or equivalent platforms
Experience designing AI workflows for software development, testing, support, DevOps, security remediation, or operational engineering
Strong understanding of AI evaluation frameworks, guardrails, safety mechanisms, observability, and governance
Experience integrating AI agents into CI/CD pipelines and software engineering workflows
Ability to rapidly understand unfamiliar codebases and technology stacks using AI-assisted approaches
Strong software engineering background sufficient to review, validate, and improve AI-generated solutions
Experience delivering measurable productivity, automation, or cost-reduction outcomes through AI technologies
Experience with Microsoft technologies such as Active Directory and Exchange is nice to have
Experience with on-premises products and C#/.NET on the Microsoft technical stack is nice to have
Experience with multi-agent frameworks such as CrewAI, AutoGen, LangGraph, Semantic Kernel, or OpenAI Agents
Experience with AI-powered development environments such as Claude Code, Cursor, Windsurf, or GitHub Copilot
Experience with security remediation platforms such as Aikido Security
Experience with automated code review and vulnerability remediation systems
Experience with AI observability and evaluation platforms
Experience with agent governance and safety controls
Experience with autonomous CI/CD and release automation
Experience with AI-assisted support and customer issue resolution systems
Experience developing and maintaining YAML CI/CD pipelines using Azure DevOps, Jenkins, or similar systems
Candidate must be located in Canada

Benefits

Comp & perks

Competitive pay
Annual bonuses
Top-performer recognition
Comprehensive health benefits
Family benefits
Retirement benefits
Flexible work options
Generous PTO
Wellness programs
Learning platforms
Mentorship
Leadership programs
Employee Resource Groups
Support from the Equality & Inclusion Council