Similar Jobs
Software
Test mobile features across iOS and Android, perform regression testing, and build automated synthetic tests for voice calls and SMS. Develop test plans for new and cross-team initiatives, track bugs and quality trends, and provide data-driven recommendations. Collaborate closely with engineering, product, and design teams to maintain quality while increasing release velocity.
Top Skills:
Ai ToolsAndroidiOSMobile Test AutomationSmsVoice Calls
.jpg){kind=logo}
Automotive • Insurance
Conduct manual and automated testing for a cloud-based SaaS platform across web and mobile applications. Create test cases, automated scripts, regression checklists, and detailed bug reports; validate functionality, integrations, compatibility, and releases. Collaborate with Engineering, Product, and business teams to troubleshoot issues, deploy features to test environments, support production releases, and improve product quality. Provide endpoint technical support and customer success assistance.
Top Skills:
Automated Testing PlatformsAWSBrowserstackHerokuJavaScriptLambdamacOSNode.jsSource Control
Blockchain • Payments • Financial Services • Cryptocurrency
Own QA strategy and execution for a crypto payments product squad. Build and maintain automated UI, API, and backend tests using TypeScript and Playwright, integrate regression testing into CI/CD, and conduct exploratory, acceptance, and release testing. Review requirements, manage the automation backlog, communicate product issues, maintain QA reports, and drive quality decisions with engineering, product, stakeholders, and vendors.
Top Skills:
Ai Testing ToolsCi/CdCryptocurrencyGitlab CiInsomniaJIRAPlaywrightPostmanSQLStablecoinsTestrailTypescript
Design, develop, and maintain automated and manual tests and frameworks to ensure software quality. Collaborate with cross-functional teams to define test strategies, execute CI/CD test runs, report defects, and improve automation coverage and testing processes.
Bridgeway is seeking a QA Engineer to work in a fast-paced, results driven environment, collaborating with other engineers and analysts. The QA Engineer is responsible for ensuring the quality, reliability, and performance of software products through automated and manual testing practices. Quality Assurance Engineers are integral to the SDLC, leveraging automation frameworks, tooling, and testing strategies to detect defects early, validate requirements, and prevent regressions. This role focuses on building scalable, repeatable, and maintainable automated test solutions that support CI/CD. Quality Assurance Engineers partner closely with software engineers, quality analysts, product owners, business analysts, scrum masters, and platform teams to ensure quality is embedded throughout the development process—improving user experience while reducing risk, rework, and post-release defects. We are seeking a highly motivated individual who thrives in a highly productive team centric environment.
This is a remote position with preference given to East Coast candidates.
Responsibilities:
- Analyze and understand business, product, infrastructure, and technical requirements to ensure comprehensive test coverage.
- Collaborate with cross-functional stakeholders to clarify requirements, identify risks, and ensure acceptance criteria are testable and automatable.
- Define testing strategies and approaches that align with DevOps and CI/CD practices.
- Identify testing scope, objectives, resources, timelines, and deliverables for automated and manual testing efforts.
- Design, develop, and maintain well-structured, reusable, and maintainable automated test cases and frameworks.
- Create and manage automated test scripts and test suites within Azure DevOps (ADO) or similar platforms.
- Execute and maintain automated and manual tests, including functional, regression, performance, usability, and security testing.
- Initiate and monitor automated test runs, analyze results, and validate test coverage for assigned scrum teams.
- Identify, document, prioritize, and track defects and inconsistencies, partnering closely with developers to troubleshoot issues and validate fixes.
- Develop a strong understanding of user story sizing, test planning, and test coverage within Agile and Scrum workflows.
- Maintain clear and detailed documentation of test plans, test cases, automation frameworks, and regression testing results.
- Prepare and communicate test results, regression reports, and quality metrics to technical and non-technical stakeholders.
- Actively contribute to the automation roadmap by identifying opportunities to increase automation coverage and improve testing efficiency.
- Recommend and implement process, tooling, and framework improvements to enhance the effectiveness, scalability, and reliability of the QA practice.
- Stay current with industry trends, tools, and best practices in test automation, quality engineering, and secure software development.
- Leverage generative AI tools such as Claude and Copilot to streamline workflows, enhance productivity, improve solution quality, and accelerate delivery of business outcomes.
Qualifications:
- 4+ years of professional software quality assurance experience, including 2+ years in test automation
- Proficiency with test automation tools and frameworks (e.g., TestComplete, Playwright)
- Solid programming skills in Java, Python, or JavaScript
- Experience working with CI/CD tools such as GitHub, GitLab, or Azure DevOps
- Solid understanding of software testing fundamentals, automated testing strategies, quality engineering principles, and test design best practices
- Proven technical foundation including SQL, database concepts, APIs, web-based applications, and networking fundamentals
- Experience building, and maintaining automated test frameworks, tools, and reusable test components
- Strong analytical and problem-solving skills
- Experience in large-scale or multi-platform environments is a plus
- Proficiency working in Agile/Scrum environments preferred
- Experience using generative AI tools such as Claude and Copilot to improve productivity and deliver high-quality outcomes
- Bachelor’s degree in Computer Science or a related field
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
