Software Development Engineer in Test (Python)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Development Engineer in Test (Python) based in Canada. Join a collaborative Platform Engineering team focused on building and scaling reliable, high-performance virtualized server infrastructure. In this role, you will help ensure the quality, scalability, and correctness of cloud platform services through comprehensive test automation and continuous validation. You will design testing strategies, develop automated frameworks, and establish performance quality gates throughout the software development lifecycle. Working closely with software developers and cross-functional engineering teams, you will improve deployment reliability and strengthen platform resilience. This opportunity combines Python development, Linux systems engineering, and modern automation practices in a remote-friendly environment. Your work will directly contribute to delivering dependable infrastructure that supports demanding applications and services.

Define and implement test strategies, performance quality gates, and automated workflows covering testing, deployment, and validation. Develop, enhance, and maintain automated testing frameworks for code changes, including unit, integration, and end-to-end tests. Create and maintain comprehensive test plans and test cases for microservices, accounting for relevant scenarios, edge cases, and potential failure conditions. Investigate and troubleshoot deployment-related issues across different environments, identify root causes, and recommend effective solutions. Collaborate with other engineering teams on integration testing and identify opportunities to improve testing processes and environments. Define, assess, and validate requirements for safe deployments and rollback procedures to minimize operational risk. Write and maintain scripts that automate platform service deployments and improve the efficiency and consistency of delivery pipelines. Contribute to platform reliability, scalability, and correctness through continuous testing, debugging, and process improvements. Requirements Bachelor's degree in Computer Science or an equivalent qualification. Knowledge of Python and Pytest, with a solid understanding of modern software testing methodologies. Familiarity with Perl and Go (Golang), along with practical debugging skills. Understanding of x86 and ARM processor architectures and their key differences. Knowledge of Debian packaging, APT, and software dependency management. Strong Linux fundamentals, particularly performance tuning, troubleshooting, and system behavior. Experience with Bash and scripting fundamentals for test automation and deployment workflows. Understanding of virtualization and containerization technologies. Familiarity with automation tools and frameworks such as Jenkins, GitHub Actions, and SaltStack. Strong analytical and problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering teams. Benefits Competitive salary: Base salary ranging from CAD $62,500 to $112,500 per year, depending on relevant experience, skills, certifications, and other job-related factors. Additional compensation: Potential annual bonuses or other incentive compensation, equity awards, and participation in an Employee Stock Purchase Plan (ESPP). Healthcare and well-being: Comprehensive benefits supporting physical health, mental wellness, and financial well-being, subject to eligibility. Retirement savings: Registered Retirement Savings Plan (RRSP) benefits. Paid time off: Company holidays, vacation through paid time off (PTO), and sick leave. Family-friendly support: Employee assistance resources, including mental and financial wellness support. Flexible work arrangements: A remote position in Canada, with flexibility to work from home, an office, or a combination of both, according to role requirements. Collaborative engineering environment: Opportunities to work with distributed infrastructure, cloud technologies, and cross-functional engineering teams.