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Oracle Policy Automation Developer Jobs in Ontario

... Oracle/SQL Server | LLM/AI Tools Why Join. Build automation for complex, business-critical technology. Take ownership of AI, testing, and DevOps initiatives Work with modern engineering and AI tools.

DevOps Developer

Toronto, ON · On-site +1

CA$125K - CA$140K/yr

Improve platform security posture through guardrails, policy automation, and least-privilege patterns. * Reliability and Developer Experience * Raise service and pipeline reliability through strong ...

The Senior Automation Engineer will ensure all work aligns with company policies and procedures, with safety as the highest priority. Responsibilities include but are not limited to: * Serve as site ...

Regional Automation Engineer

Mississauga, ON · On-site

CA$115K - CA$128K/yr

Coordinate projects in accordance with regional management policies, principles, and procedures ... Train local teams on automation systems and programmable logic controller (PLC) programming. * Use ...

We are seeking an experienced Senior Playwright Automation Engineer to design, develop, and ... Good understanding of the Insurance domain , preferably across Underwriting, Policy, and Claims

Posted today

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Oracle Policy Automation Developer information

Infographic showing various Oracle Policy Automation Developer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Automation Engineer

Toronto, ON

Full-time

Re-posted 4 days ago


Job description

Job Description Automation Engineer Location: Toronto | Hybrid About the Role We are looking for a developer-first Automation Engineer who combines software development, test automation, AI, and DevOps skills to improve the quality and delivery of complex enterprise applications. You will work hands-on with application workflows, build automated testing solutions, develop CI/CD pipelines, and use AI-powered tools to improve test generation, regression analysis, and engineering productivity. What You'll Do Learn and understand complex application workflows through hands-on testing and analysis.

Automate manual and regression testing using Python and modern automation frameworks. Analyse application outputs to identify defects, regressions, and unexpected behaviour. Build and maintain CI/CD pipelines, automated quality gates, and deployment workflows.

Develop internal automation tools, frameworks, and reusable testing utilities. Use AI coding assistants, LLMs, and agentic frameworks to accelerate automation and testing. Support containerised environments, infrastructure automation, and artifact management.

Collaborate with developers, testers, infrastructure teams, and business stakeholders. Continuously improve test coverage, reliability, and engineering processes. What You'll Need 2-4 years of experience in software development, test automation, or a similar engineering role.

Strong Python skills, preferably with pytest, pandas, and NumPy. Strong SQL and relational database experience. Hands-on experience with CI/CD tools such as GitHub Actions or Jenkins.

Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or Windsurf. Strong Git and software development practices. Experience working with complex enterprise applications or business-critical systems.

Comfortable with hands-on testing, debugging, and detailed data analysis. Nice to Have Experience with LLMs or agentic AI frameworks such as LangChain, AutoGen, or CrewAI. C++, C#/.NET, or Java experience

Docker, Ansible, Linux/Unix scripting, or infrastructure-as-code experience. Experience with messaging, APIs, distributed systems, or enterprise integrations. Performance testing experience with tools such as k6, JMeter, or Locust.

Technology Environment: Python | C++ | C#/.NET | Java | SQL | pytest | GitHub Actions | Jenkins | Docker | Ansible | Git | Oracle/SQL Server | LLM/AI Tools Why Join. Build automation for complex, business-critical technology. Take ownership of AI, testing, and DevOps initiatives

Work with modern engineering and AI tools. Gain broad exposure to enterprise technology. Grow your technical skills in a collaborative engineering environment.

Competitive compensation, professional development, and comprehensive benefits.