SDET building automated testing frameworks for Emburse’s travel and expense software. Designing integration, workflow, E2E, and performance tests while supporting reliable releases.
Responsibilities
Work as the quality champion and SDET within a product scrum team on a large-scale highly distributed enterprise software solution
Establish test plans and approaches for features and functionality
Ensure code changes are thoroughly tested and released efficiently with high quality
Conduct system and end-to-end testing
Coordinate and execute release and deployment activities for Emburse releases
Design and implement automation for integration and workflow tests
Assess load and performance testing requirements and create tests to evaluate system performance under load
Pair with developers to ensure applications and features are designed for testability
Collaborate with Software Engineers, Product Owners, and other stakeholders to deliver high-quality products and services
Participate in peer code reviews
Identify opportunities to improve the reliability and maintainability of the test automation architecture
Requirements
Bachelor’s degree in Computer Science or related field, or relevant experience
3+ years of Testing/Quality Engineering experience in the software domain
Broad knowledge of Computer Science concepts and technologies
Experience working in Scrum/Agile and DevOps environments
Experience designing and implementing automated tests using Pytest, Selenium, Playwright, or similar tools
Familiarity with object-oriented programming languages and concepts, including Python or Java
Comfort with SQL and writing SQL queries
Exposure to RESTful APIs and experience with Postman, Curl, or equivalent tools
Some experience with load/performance testing and tools
Ability to identify opportunities for improvement and tackle them without external direction
Experience with front-end and back-end automation frameworks, such as Selenium, QA Robot, Playwright, Pytest, and RestAssured
Comfort with CI/CD, build, package, configuration, and release management tools such as Jenkins, Ansible, GitLab, and GitHub
Knowledge or experience with Kubernetes, Docker, or AWS is a bonus
Exposure to infrastructure observability tools such as Grafana, OpenSearch, Coralogix, or Datadog is a bonus
This role is not sponsorship eligible
Candidates need to be legally allowed to work in Canada
QA Automation Engineer ensuring iGaming math, platform reliability, certification readiness, and server security for mobile game developers. Validating simulations, releases, APIs, and RNG compliance remotely worldwide.
SDET building Playwright - based automation and CI test infrastructure for Dutch Vet’s virtual veterinary telemedicine platform. Driving testability standards and quality across checkout, registration, integrations, and monitoring.
Senior SDET improving quality for Replicant’s voice AI customer - service platform. Building AI - driven testing, automation frameworks, analytics, and CI/CD quality gates for scalable releases.
Lead AI test automation architect at High Tech Genesis, building AI - powered quality engineering frameworks. Designing agents, RAG workflows, and UI/API automation for intelligent testing.
Senior SDET building automated testing frameworks for Emburse’s travel and expense software. Driving quality, performance, CI/CD, and release automation across enterprise applications.
GM Staff DevOps Architect scaling software quality automation, CI/CD, and traceability tooling. Driving system - test readiness and engineering productivity across vehicle software organizations.
Technical Account Manager helping Visual AI testing customers adopt automation tools. Leading onboarding, CI/CD integration, troubleshooting, and long - term technical success.
Software Engineer in Test at Blackpoint building automated tests for cloud - based cybersecurity solutions. Collaborating with engineering teams to enhance software quality and resiliency.
SDET innovating and executing tests on cutting edge AI infrastructure for Cerebras. Championing cluster security and reliability for 99.9999% uptime and observability.