Posted 2w ago

Senior Python Automation Test Engineer

@ Cognizant
Toronto, Ontario, Canada
$73k-$90k/yrHybridFull Time
Responsibilities:designing automated, developing frameworks, maintaining pipelines
Requirements Summary:6-10 years in automation framework development; 3+ years with Python and Robot Framework; strong data validation using Python; SQL proficiency; CI/CD experience; Linux/Unix scripting; QA processes and ALM tools.
Technical Tools Mentioned:Python, Robot Framework, Jenkins, GitLab CI/CD, SQL, Linux, GitHub Copilot
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Job Description

We are looking for a detail-oriented and technically proficient Automation Test Engineer who can design, develop, and execute automation scripts independently using Python and Robot Framework. You will be responsible to develop, enhance and maintain Python-based automation scripts and tools to automate repetitive tasks and operational workflows for our banking clients.

 

In this role, you will

  • Develop automated testing scripts using Python and Robot Framework.
  • Design and maintain automated test frameworks using Python and Robot Framework
  • Implement and maintain test automation frameworks using Robot Framework.
  • Ensure comprehensive test coverage for both frontend (UI) and backend (API, database) components
  • Perform data validation using SQL DB queries and  handling medium to complex queries with ease.
  • Implement and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or similar.
  • Stay up to date with new automation tools, techniques, and trends — especially in Python-based ecosystems.

 

Required skills

  • Overall 6-10 years of hands-on experience in automation framework development.
  • Must have 3+ years of experience in automation testing with Python and Robot Framework.
  • Proven experience in designing and implementing robust automation frameworks from scratch for both backend and frontend systems
  • Must have strong Experience in Data Validation using Python.
  • Must have good experience with SQL database and writing complex SQL queries.
  • Familiarity with Linux/Unix environments and Unix Shell Scripting.
  • Good knowledge of CI/CD tools like Jenkins, GitLab CI/CD
  • Familiarity with GitHub Co-pilot, leveraging AI technology for QE tasks.
  • Good knowledge with QE Processes, methodologies and Test Design techniques.
  • Good  knowledge of ALM, JIRA and Confluence.

 

Preferred skills

  • Experience in the banking domain is a plus.
  • Certifications in Python, DevOps, or Cloud technologies are a plus.
  • Exposure to Gen AI, LLM, Data Engineering.
  • Experience with Linux and shell scripting.

 

Total compensation:

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 73,000 – 90,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

 

Working arrangements

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Toronto, province. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

 

Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

 

Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.