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Copilot Developer Jobs in Ontario (NOW HIRING)

Proficient with AI coding assistants (Claude Code, Cursor, Copilot) for development, debugging, and code review. * Experience orchestrating AI agents to automate multi-step engineering workflows ...

Proficient with AI coding assistants (Claude Code, Cursor, Copilot) for development, debugging, and code review. * Experience orchestrating AI agents to automate multi-step engineering workflows ...

Solid understanding of DevOps practices and Azure DevOps or GitHub Actions * Experience with relational and NoSQL databases Nice to Have * Microsoft Copilot Studio or Power Platform experience

Proficient with AI coding assistants (Claude Code, Cursor, Copilot) for development, debugging, and code review. * Experience orchestrating AI agents to automate multi-step engineering workflows ...

Principal Automation Engineer

Toronto, ON ยท On-site

$172.20 - $199.75/hr

Principal Automation Engineer (12 Month Contract) Location: Toronto - 100 Adelaide St W Time Type ... You will also spearhead the integration of Generative AI tools (e.g., Copilot/Claude/Gemini) into ...

... DevOps, ETL Processing, GitHub, GitHub Actions, GitHub Copilot, Linux, Machine Learning (ML), Microsoft Copilot, Python (Programming Language), Selenium, SoapUI, SQL Query Writing, Test Case Design ...

Experience with AI coding tools such as GitHub Copilot, Cursor, or similar developer-assist platforms. * Strong understanding of Git-based version control, GitHub workflows, pull request practices ...

AI Engineer

Toronto, ON ยท On-site

CA$106K/yr

Weoperatewith a strong engineering culture: we question assumptions, prioritize impact over process ... You'llleveragemodern AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to ...

25-176 -Sr. Solutions Engineer

Oshawa, ON ยท Remote

$90 - $100/hr

CoPilot and Agentic Development and support Develop best practices across our M365 ecosystem ... Background in Agile methodologies and DevOps practices. Experience with governance and compliance ...

Showing results 41-60

Copilot Developer information

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.
What are popular job titles related to Copilot Developer jobs in Ontario? For Copilot Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Copilot Developer jobs in Ontario look for? The top searched job categories for Copilot Developer jobs in Ontario are:
Infographic showing various Copilot Developer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Lead Java developer - Capital Markets experience

Alquemy

Toronto, ON โ€ข On-site

Other

Re-posted 15 days ago


Job description

Job Description Our Toronto client is seeking a Lead Java Developer with Capital Markets experience to join their team. As a Lead Java Developer, you will join an elite engineering squad responsible for the development and evolution of high-availability, low-latency systems within the Fixed Income Cash and Derivatives space. This is not a "maintenance" role; you will be at the center of high-stakes projects, building and optimizing the engine that powers trade booking, execution, and post-trade workflows in a fast-paced Capital Markets environment.

What Will You Do. Architectural Leadership: Drive the design and development of our next-generation Cash trade management systems, ensuring they meet the rigors of modern electronic trading. Team Evolution: Act as a force multiplier by mentoring developers, fostering a "craftsmanship" mindset, and elevating the team's technical bar.

Strategic Collaboration: Partner directly with Product Owners, Quants, and Sales/Trading desks to translate complex business needs into high-performance software. Challenging the Status Quo: Develop a granular understanding of global currency flows to identify bottlenecks and proactively propose strategic, long-term technical solutions. Setting the Standard: Implement high-performance, reusable, and scalable codebases, defining what "excellence" looks like for the team.

Critical Support: Provide Level 2 expert support to ensure the stability of mission-critical trading infrastructure. What Do You Need to Succeed. Must-Have Technical DNA: Core Java Mastery: 7+ years of experience designing distributed systems, with a mandatory focus on multi-threaded, low-latency, and memory-efficient Java (8+).

Ecosystem Expertise: 5+ years of hands-on experience with the Spring Framework in high-throughput environments. Capital Markets Domain: Solid understanding of Capital Markets (Fixed Income, FX, or Equities). Data & Messaging: Proficiency in relational databases and high-speed messaging middleware (e.g., Kafka, Solace, or IBM MQ)

In-Memory Performance: Hands-on experience with distributed caching and compute grids like Redis or Apache Ignite. Modern DevOps: Deep familiarity with CI/CD pipelines (GitHub, Jenkins, Ansible) and a commitment to "quality-as-code" through SonarQube and automated testing. Nice-to-Have: AI-Augmented Development: Experience leveraging GitHub Copilot or Windsurf to accelerate the SDLC.

Quant & Risk Exposure: Familiarity with pricing models, risk sensitivities (Greeks), or real-time P&L calculations. Market Integration: Experience with Bloomberg or Refinitiv data feeds. Cloud Native: Exposure to containerization (Docker/Kubernetes) and cloud-scale architecture.

**Apply today to find out more about this amazing opportunity!