Company Description:
Rewst is a tool designed for Managed Service Providers (MSPs) to streamline and automate their processes, saving valuable time and effort. Our platform helps MSPs achieve big automation wins, resulting in increased productivity and efficiency. We value the flexibility of remote work and enjoy opportunities to collaborate in person on occasion.
Work Hours - U.S.
We’re looking for a highly technical and motivated Senior Automation Test Engineer to join our QA team at Rewst. In this role, you’ll work primarily alongside the QA Automation Architect to help design, build, and maintain the automation frameworks that underpin quality across the platform. You’ll also take a leading role in leveraging AI-assisted tooling and agent-based approaches to accelerate test creation, and you’ll contribute to performance and load testing efforts as the team matures its testing capabilities.
Automation Framework Development
Work closely with the QA Automation Architect to build, maintain, and evolve scalable and reusable test automation frameworks covering both UI and API layers.
Develop and maintain automated test scripts for UI workflows and API endpoints, supporting functional, regression, and performance testing requirements across the platform.
Ensure automation solutions integrate seamlessly with CI/CD pipelines to enable continuous testing and rapid feedback loops.
Contribute to automation best practices, coding standards, and shared tooling to support QA engineers across squads.
Identify gaps in test coverage and work proactively to address them through expanded automation.
Pick up and validate tickets from the Platform squad, testing and verifying platform-level changes as part of the broader QA workflow.
AI-Assisted Test Creation
Leverage AI tools and agent-based frameworks (e.g., Claude or similar LLMs) to accelerate test generation, maintenance, and coverage expansion.
Build and refine agent skills and prompting strategies that enable reliable, repeatable AI-assisted test authoring.
Collaborate with the QA Automation Architect to integrate AI-assisted approaches into the broader automation workflow in a maintainable and scalable way.
Stay current on emerging AI tooling relevant to software testing and advocate for adoption where it delivers measurable value.
Performance Testing
Assist in the design and execution of performance and load testing efforts to validate application behavior under realistic and peak conditions.
Work with tools such as JMeter, k6, or similar to build performance test suites and analyze results.
Identify performance bottlenecks and communicate findings clearly to engineering and product stakeholders.
Collaboration & Continuous Improvement
Partner with developers, QA engineers, and the QA Automation Architect to ensure automation efforts align with feature development and application requirements.
Analyze test execution results and provide clear reporting on defects, coverage, and automation health.
Share knowledge and provide guidance to QA engineers building automation skills across squads.
Advocate for continuous improvement in testing processes, tooling, and infrastructure.
5+ years of experience in a software development engineering in test, QA automation, or equivalent engineering role.
Strong programming skills in one or more of the following: Python, JavaScript, TypeScript, or Java. Familiarity with version control tools (e.g., Git).
Experience with both UI automation (e.g., Playwright, Selenium, Cypress) and API automation (e.g., Postman, REST Assured, or similar), including familiarity with REST APIs, JSON, and related content formats.
Experience integrating automated tests with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
Demonstrated experience or strong interest in leveraging AI tools and LLM-based agents to assist with test creation and automation workflows.
Familiarity with performance and load testing concepts and tools (e.g., JMeter, k6, Locust, or similar).
Strong analytical and problem-solving skills with the ability to identify root causes and build effective solutions.
Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.
Comfortable operating with autonomy in a fast-paced, evolving environment with shifting priorities.
Experience building or contributing to AI agent workflows or prompt engineering for software testing use cases.
Experience with cloud-based testing environments (AWS, Azure, GCP).
Previous experience in a Robotic Process Automation (RPA) company or low-code/no-code platform.
Familiarity with Agile methodologies (Scrum, Kanban) and experience working in Agile teams.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Opportunity to make a significant impact in a fast-growing startup environment.
Collaborative and inclusive culture that values creativity, diversity, and innovation.
Flexible work arrangements and a supportive work-life balance.
Competitive compensation package, including equity options and benefits.
Why Join Us:
Opportunity to make a significant impact in a fast-growing startup environment
Collaborative and inclusive culture that values creativity, diversity, and innovation
Competitive compensation package, including equity options and benefits
Flexible work arrangements and a supportive work-life balance
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