Software Engineer, Quality Engineering
New
Based in the United StatesFull-TimeMiddle
SalaryCompetitive base salary range of $140,000–$170,000.
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Job Details
- Experience
- 3–8 years
- Required Skills
- AWSNode.jsKubernetesReact NativeTypeScriptMicroservices
Requirements
- 3–8 years of professional engineering experience focused on quality engineering, software development in test (SDET), or automation engineering.
- Strong engineering foundation with expertise in building quality systems, rather than only creating test scripts.
- Deep understanding of software systems, architectures, and how applications function internally.
- Experience designing and developing test frameworks or automation infrastructure from scratch.
- Strong programming skills and familiarity with modern software engineering practices.
- Experience working with automated testing approaches across backend, mobile, or web applications.
- Comfort using AI-assisted development tools such as Claude, Cursor, or similar technologies to improve productivity.
- Ability to work independently, take ownership, and proactively solve problems.
- Strong collaboration skills and the ability to partner effectively with engineering teams.
- Familiarity with technologies such as TypeScript, Node.js, microservices, Kubernetes, AWS, React Native, iOS, Android, or similar modern stacks is a plus.
Responsibilities
- Build and maintain automated testing frameworks for mobile applications and backend systems at scale.
- Design and develop intelligent testing workflows and tooling that support faster, more reliable software delivery.
- Create automation infrastructure and quality solutions that integrate seamlessly into engineering processes.
- Partner with feature development and platform engineering teams to improve testing practices and enable confident releases.
- Analyze systems deeply to understand technical behavior, identify risks, and develop effective quality strategies.
- Contribute to engineering standards and continuous improvements across development workflows.
- Leverage AI-assisted development tools to improve productivity, accelerate problem-solving, and enhance engineering output.
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