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Entry Level Python Automation Engineer Jobs in Toronto, ON

You're comfortable with Python or a similar programming language, SQL and databases, and automation platforms such as n8n, Zapier, Make, or similar tools. You're also familiar with modern development ...

Responsibilities - Develop, test, and maintain Python scripts or programs for automation, data ... Python programming fundamentals (syntax, libraries, error handling). - Problem-solving skills to ...

As a Software Developer, Agentic AI Platform, at Fidelity Investments Canada, you will support the ... The role focuses on practical Python automation, cloud deployment, data integration, monitoring and ...

Strong programming skills in languages such as Python, Java, or JavaScript, with a solid understanding of software development principles. * Familiarity with test automation tools/frameworks (e.g ...

New

Automation Analyst

Toronto, ON · On-site

$90 - $118/hr

Experience programming with a language such as Python, Java, Go, C, or developing applications with low‑code/no‑code platforms. * Artificial Intelligence, Machine Learning, and RPA. * Experience ...

University or College diploma in Computer Science, Software Engineering, Software Design, or a ... Python, Java ). * Experience testing REST/SOAP APIs, XML, JSON , and filebased data exchanges.

University or College diploma in Computer Science, Software Engineering, Software Design, or a ... g., Python, Java ). * Experience testing REST/SOAP APIs, XML, JSON , and file‑based data ...

Strong coding/scripting experience in one or more languages such as Python, Java, PowerShell, Go, or Shell scripting. * Hands-on experience with automation and DevOps tools such as Azure DevOps, ...

Automation Analyst

Toronto, ON · On-site

CA$90K - CA$118K/yr

Experience programming with a language such as Python, Java, Go, C, or developing applications with low-code/no-code platforms. * Artificial Intelligence/Machine Learning/RPA o SaaS and cloud-based ...

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Entry Level Python Automation Engineer information

What does an entry level Python automation engineer do?

An Entry Level Python Automation Engineer is responsible for designing, developing, and maintaining automated scripts and tools using Python to help streamline processes and improve efficiency. They typically work under the guidance of senior engineers to automate repetitive tasks, perform software testing, or manage data workflows. Their daily tasks may include writing Python code, debugging automation scripts, and collaborating with team members to identify opportunities for automation. This role is ideal for those with a foundational understanding of Python and a passion for problem-solving and process improvement.

What are the key skills and qualifications needed to thrive as an entry level Python automation engineer?

To thrive as an Entry Level Python Automation Engineer, a solid grasp of Python programming, basic software development principles, and familiarity with automation frameworks is essential, often supported by a relevant degree or certification. Experience with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills and qualities are crucial for efficiently developing, testing, and maintaining automation solutions that enhance productivity and software quality.

What types of projects and tasks can an entry level Python automation engineer expect to work on in their first year?

As an Entry Level Python Automation Engineer, you can expect to work on a variety of tasks such as writing and maintaining scripts to automate repetitive processes, assisting with the development of test automation frameworks, and supporting the deployment of automated solutions in collaboration with more experienced engineers. You may also be responsible for troubleshooting automation scripts, documenting processes, and participating in code reviews. The work environment is typically team-oriented, and you will likely collaborate closely with developers, QA analysts, and IT support, which provides valuable opportunities to learn and grow your technical and professional skills.

What is the difference between Entry Level Python Automation Engineer vs QA Tester?

AspectEntry Level Python Automation EngineerQA Tester
Required SkillsPython scripting, automation tools, basic testing knowledgeManual testing, test case creation, defect tracking
CertificationsNone mandatory, Python knowledge preferredISTQB or similar testing certifications
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing labs
Industry UsageTech, finance, healthcare, any industry with software productsPrimarily software and tech companies

While both roles involve quality assurance, the Entry Level Python Automation Engineer focuses on developing automated testing scripts using Python, whereas the QA Tester primarily performs manual testing and defect reporting. The automation engineer role requires programming skills and automation tools knowledge, making it more technical. Both roles are essential in software development, but the automation engineer often works closely with developers to streamline testing processes.

What are popular job titles related to Entry Level Python Automation Engineer jobs in Toronto, ON?

For Entry Level Python Automation Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Automation Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Python Automation Engineer jobs in Toronto, ON are:

Infographic showing various Entry Level Python Automation Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution.

AI Automation Engineer

7shifts

Toronto, ON • On-site

Full-time

Posted 16 days ago


Job description

As an AI Automation Engineer at 7shifts, you'll help teams across the business rethink how work gets done and build the automations that create meaningful capacity and output. Reporting to the CTO, you'll partner with leaders to identify high-impact opportunities for automation, then design and build the workflows that bring them to life. You'll be the person who turns "how can we automate this?" into solutions that actually ship, scale, and stick.

This is a hands-on role with broad exposure across the business. You'll work closely with teams to understand their processes, identify where time and effort are being spent, and build AI-powered workflows and automations that help us work more efficiently and focus on higher-value work.

What you'll do:

  • Partner with teams: Work closely with leaders and teams to understand their workflows, translate business needs into automation opportunities, and help shape solutions that create meaningful capacity.
  • Redesign processes: Challenge existing ways of working, eliminate unnecessary steps, and design simpler, more scalable processes before introducing automation.
  • Build and ship: Turn ideas into practical AI-powered solutions, using LLMs, agents, and other tools to prototype, test, and launch automations that give teams back hours in their day.
  • Connect systems: Integrate the tools and systems we already use through APIs and automation platforms to streamline how information and actions move across the business.
  • Make it stick: Document solutions, establish clear processes and guardrails, and enable teams to confidently use and maintain what you build.
  • Measure impact: Track outcomes like time saved, capacity created, and efficiency gains to understand what's working and prioritize where to go next. 

What you bring:

  • Builder mentality: You're comfortable taking an ambiguous problem from idea to implementation and have a track record of shipping and maintaining what you build - not just prototyping
  • AI fluency: You have hands-on experience with LLMs and AI tools like Claude, OpenAI, or similar, and can speak to how you've used them to change the way you work or solve business problems.
  • Responsible AI mindset: You understand the importance of building AI solutions responsibly, with appropriate attention to data privacy, security, access controls, and the handling of sensitive information. You know when data should, and shouldn't, be used with AI tools and build with appropriate safeguards in place.
  • Technical foundation: You have experience building and deploying AI-powered solutions and connecting systems through APIs. You're comfortable with Python or a similar programming language, SQL and databases, and automation platforms such as n8n, Zapier, Make, or similar tools. You're also familiar with modern development and deployment tools such as Git, Vercel, Railway, or cloud platforms like AWS, Azure, or GCP.
  • Business-first mindset: You start with the business problem, not the technology. You can sit with a non-technical leader, understand how their team works, identify where automation can create value, and translate that into a practical solution.
  • Process instinct: You question existing ways of working and look for chances to simplify, cut unnecessary steps, and build more scalable processes.
  • Strong ownership: You're comfortable working independently, navigating ambiguity, and driving projects from identifying an opportunity through implementation, iteration, and measuring the impact.
  • Enablement mindset: You don't just build and walk away. You document your work, set practical guardrails, and enable teams to confidently adopt, use, and maintain what you build.

It'd be even cooler if you had:

  • Experience with workflow orchestration or RPA tools
  • Familiarity with data pipelines or BI tooling
  • Restaurant tech or vertical SaaS experience