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Sr. Software Development Engineer in Test, Snr SDET at… | Swiftcruit
Take ownership of test automation frameworks, building them from the ground up where needed and improving existing ones. Be the go-to person for framework design, good standards testing practices.
Help shape the test strategy across products and services, making clear, practical decisions about coverage, risk and release readiness.
Write reliable, maintainable integration and end-to-end tests to the same engineering standards as production code. Build reusable utilities, mocks and simulators that make testing easier for the wider team.
Embed automated testing into CI/CD pipelines, giving engineers fast, meaningful feedback and confidence in their changes.
Keep test suites and regression packs healthy by tackling flaky tests, removing duplication and ensuring coverage stays relevant as products evolve.
Test across front-end applications, back-end services, APIs and distributed microservices, using tools such as Playwright, Cypress, REST Assured and Postman where appropriate.
Plan and carry out performance and load testing using tools such as k6, Grafana k6 Cloud or JMeter, working with engineers to investigate bottlenecks and validate improvements.
Use AI tools such as Claude, GitHub Copilot or similar to support test design, scaffold and maintain frameworks, generate test cases and investigate failures. Apply engineering judgement to review and validate AI-generated code and test results.
Explore practical uses of AI agents for exploratory testing, fuzz testing and anomaly detection, alongside hands-on investigation and risk-based testing.
Where products include AI-powered features, develop evaluation approaches covering prompt regression, output quality and safety, and variability in model responses.
Work closely with engineers, product managers and delivery leads to build quality into requirements and design decisions from the outset. Coordinate across squads to test shared journeys, service contracts and integrations.
Stay hands-on throughout delivery: investigate defects and production issues, carry out targeted manual testing, validate fixes and add automated coverage to prevent repeat failures.
Bring an independent quality perspective to architecture and release decisions. Ask difficult questions, challenge assumptions and raise concerns when the evidence does not support a release.
Mentor engineers and other testers, share knowledge and help create an environment where people can question decisions, surface risks and learn from failures without blame.
"Desirable Experience”
Evidence of testing craft through frameworks you have built, improvements you have delivered, open-source contributions or examples you can discuss.
Practical experience using AI coding assistants or agents, including writing effective prompts and critically evaluating their output.
Experience with cloud-native testing, AWS environments, infrastructure as code such as AWS CDK, and consumer-driven contract testing with Pact.
Experience evaluating AI-powered features and building repeatable checks for model behaviour.
