Senior AI Software Developer

Quest Software Canada Inc; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

Annual bonuses

Health benefits

Flexible work options

Job summary

Quest Software is seeking an experienced AI Automation Engineer to advance autonomous AI-driven automation across the SDLC, including support, testing, release engineering, and security remediation. You will design and operate agentic AI systems that span multiple products and stacks, with governance, observability, and cost-reduction as primary goals.

The ideal candidate will pair deep software engineering skills with experience in agentic tools and CI/CD integration, building scalable,

Qualifications

• Completion of a computer science undergraduate degree or equivalent practical experience.
• 6+ years of professional software development experience with strong C# and .NET.
• 2-3 years building and operating agentic AI systems in production.
• Hands-on experience with AI coding agents and multi-agent orchestration.
• Experience using modern AI development environments and CI/CD integration.
• Understanding of AI evaluation, guardrails, observability, and governance.
• Experience integrating AI agents into CI/CD pipelines.
• Ability to rapidly understand unfamiliar codebases with AI-assisted approaches.

Responsibilities

• Design and implement autonomous AI workflows for SDLC automation.
• Build multi-agent systems for root-cause analysis, code changes, testing, and deployment.
• Create AI-driven support automation to analyze and resolve customer issues.
• Develop autonomous vulnerability remediation workflows with AI tools.
• Establish frameworks for repetitive engineering activities across stacks.
• Create reusable agent architectures, prompts, and governance models.
• Design centralized AI management and observability platforms at scale.
• Measure automation impact on productivity, support efficiency, and cost.
• Identify opportunities to transition manual processes into AI-managed workflows.
• Drive adoption of AI-native operational models reducing product-specific dependencies.

Skills

C# expertise

.NET experience

Agentic AI systems

AI workflows

CI/CD integration

AI governance & safety

AI observability

Multi-agent orchestration

AI tooling (Copilot, Claude Code, etc)

Production incident handling

Education

Bachelor's degree in Computer Science

Tools

GitHub Copilot

Claude Code

Cursor

Windsurf

OpenHands

Azure DevOps

Jenkins

Job description

Overview

Overview

Quest Software is seeking an experienced AI Automation Engineer to help pioneer the next generation of software lifecycle automation through agentic AI systems.

This role is focused on applying modern AI agents, autonomous development workflows, and AI orchestration platforms to automate significant portions of the software development lifecycle (SDLC), including support operations, defect remediation, security vulnerability management, testing, documentation, release engineering, technical debt reduction, and product sustainment.

The successful candidate will design, build, and manage AI-driven automation systems capable of operating across multiple products and technology stacks. Rather than becoming a deep subject matter expert in a specific product domain, this individual will leverage agentic AI technologies to rapidly understand, maintain, and evolve mature software products while reducing operational cost and increasing engineering efficiency.

This position is particularly focused on products in the later stages of their lifecycle where automation, self-healing processes, autonomous maintenance, and AI-driven operational scale can significantly extend product viability while reducing engineering investment.

The ideal candidate is someone who is passionate about creating autonomous engineering systems rather than developing individual product features. They view AI not as a coding assistant, but as an engineering workforce that can be directed, governed, and scaled.

Successful candidates are typically early adopters of agentic development practices who continually experiment with emerging AI tools and are excited by opportunities to automate entire workflows rather than individual tasks. They are comfortable working across multiple codebases and technologies, using AI to rapidly build context and deliver outcomes.

This is a remote position ~ Candidate must be located in Canada

Responsibilities

• Design and implement autonomous AI workflows that automate software development, maintenance, support, and operational activities.
• Build multi-agent systems capable of performing root-cause analysis, bug investigation, code modification, testing, validation, and deployment tasks with minimal human intervention.
• Create AI-driven support automation solutions that analyze customer issues, generate proposed resolutions, implement fixes, and validate outcomes.
• Develop autonomous vulnerability remediation workflows utilizing tools such as Aikido Security and AI-powered code agents.
• Establish frameworks that allow AI systems to perform 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 that allow engineering teams to monitor, orchestrate, and govern agent activity at scale.
• Measure and continuously 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.

Qualifications

• Completion of a computer science undergraduate degree or equivalent practical experience.
• 6 or more years of professional software development experience, including 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 using modern AI development environments including GitHub Copilot, Claude Code, Cursor, Windsurf, OpenHands, or equivalent platforms.
• Experience designing AI workflows that automate software development, testing, support, DevOps, security remediation, or operational engineering activities.
• Strong understanding of AI evaluation frameworks, guardrails, safety mechanisms, observability, and governance.
• Experience integrating AI agents into CI/CD pipelines and software engineering workflows.
• Demonstrated 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.

Nice to have:

• Experience with Microsoft technology such as Active Directory and Exchange.
• Experience with on‑premises products and capabilities using C#/.NET on the Microsoft technical stack.

AI Tool Experience Requirements

• Multi‑agent frameworks (CrewAI, AutoGen, LangGraph, Semantic Kernel, OpenAI Agents, etc.)
• AI‑powered development environments (Claude Code, Cursor, Windsurf, GitHub Copilot)
• Security remediation platforms such as Aikido Security
• Automated code review and vulnerability remediation systems
• AI observability and evaluation platforms
• Agent governance and safety controls
• Autonomous CI/CD and release automation
• AI‑assisted support and customer issue resolution systems
• Experience developing and maintaining YAML CI/CD pipelines using Azure DevOps, Jenkins, or similar systems.

Company Overview

Quest Software builds the foundation for enterprise AI with solutions in data governance, cybersecurity, and platform modernization. More than 45,000 companies — including 90% of the Fortune 500 — trust Quest to solve their most critical IT challenges. From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential.

Why Quest

• Competitive pay, annual bonuses, and top‑performer recognition.
• Comprehensive health, family, and retirement benefits.
• Flexible work options, generous PTO, and wellness programs.
• Professional growth through learning platforms, mentorship, and leadership programs.
• Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.

Quest is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind:

Quest is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Quest are based on business needs, job requirements, and individual qualifications, without regard to race,color, religion, or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental, or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union, or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Quest will not tolerate discrimination or harassment based on any of these characteristics. Quest encourages applicants of all ages.