Senior SDET driving quality engineering initiatives at SafetyChain Software. Focusing on automation, performance improvements, and leveraging AI tools for testing delivery.
Responsibilities
Architect, implement, and maintain end-to-end automated testing frameworks for web and mobile applications using TypeScript with Playwright and WebDriverIO.
Implement and evolve test approaches across functional, regression, integration, UI, performance, and load testing layers.
Integrate and maintain automated tests within our CI/CD pipelines in GitHub Actions.
Analyze performance testing using JMeter and proactively identify bottlenecks.
Own test case traceability using Xray and drive release testing from inception through delivery.
Serve as a technical go-to person for automation and tooling, offering code reviews, best practices, and implementation guidance.
Support observability, diagnostics, and issue triage in production environments alongside DevOps and Product teams.
Test data-warehouse and analytics pipelines, reviewing transformations, metric logic, and end-to-end data flow.
Collaborate with data engineering on data contracts to ensure reliable and trustworthy analytics outputs.
Identify quality gaps and independently drive solutions to completion with minimal oversight.
Use AI-assisted tools to accelerate automation, analysis, debugging, data validation, and documentation across the testing lifecycle.
Requirements
8+ years in QA , including 3+ years as an SDET with demonstrated senior-level ownership of automation and delivery.
Expertise in automated testing and framework design , with strong TypeScript skills and experience in Playwright and Selenium (or equivalent).
Strong experience with REST API testing , including test orchestration, mocking, contract testing, and integration validation.
Hands-on performance and load-testing experience using JMeter, with the ability to interpret results and identify bottlenecks.
Solid understanding of CI/CD pipelines and experience integrating automation into GitHub Actions or equivalent.
Proficiency in SQL and experience validating complex datasets , business logic transformations, and multi-stage data flows.
Experience with BDD/Gherkin and abstraction of test definitions , including designing structured, maintainable, reusable test flows.
Experience with tools such as Xray, GitHub, Azure DevOps, SonarCloud, DataDog.
Fluency with AI-assisted engineering tools (copilots, test-generation assistants, log-analysis agents) and the ability to use AI to meaningfully increase testing velocity and insight.
Proven ability to work autonomously , drive work to completion, and make progress without heavy direction.
Strong communication and cross-functional collaboration skills.
Ability to adapt quickly based on changing priorities, projects, or organizational goals.
Benefits
Competitive compensation plan
Opportunity for stock options
Health benefits
Self Care PTO Plan
Flex Schedule
Work From Home Flexibility
Fast growing tech company with big opportunity
Great team and culture
Rewarding work that is solving an important problem
Annual investment in your professional development
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