SDET – Backend QA Platform Engineer in United States at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a SDET – Backend QA Platform Engineer based in United States.
This role sits at the core of building and scaling the next generation of backend quality assurance systems supporting a predictive analytics and IoT-driven retail technology platform.
It focuses on designing robust automated testing frameworks that ensure reliability, performance, and scalability across complex data-intensive systems.
You will work closely with engineering teams to embed quality throughout the software development lifecycle and strengthen CI/CD testing practices.
The position combines backend development, test automation architecture, and data validation across cloud-based analytics environments.
It plays a key role in improving QA tooling, metrics, and observability for mission-critical 24/7 production systems.
You will contribute to both test infrastructure and backend platform components, helping ensure high-quality releases at scale.
This is a highly technical role for engineers who enjoy solving complex system challenges in modern cloud and data environments.
- Design, develop, and maintain scalable backend QA systems and automated testing frameworks supporting IoT, machine learning, and data analytics platforms.
- Build and execute automated test suites using tools such as Selenium and pytest to ensure system reliability and performance.
- Develop backend services and test infrastructure using Python and frameworks such as Flask, ensuring robustness in 24/7 production environments.
- Integrate testing systems with relational and NoSQL databases, APIs, and existing data storage solutions.
- Create dashboards, reports, and quality metrics to monitor system health, test coverage, and regression results.
- Collaborate with engineering teams to embed automated testing into CI/CD pipelines and software development workflows.
- Identify QA process gaps and drive continuous improvement in testing strategies, tools, and best practices.
- Support backend development efforts for production systems when needed, ensuring seamless integration between QA and engineering.
- Implement monitoring and diagnostic solutions using tools such as Datadog or similar observability platforms.
- Ensure test systems are scalable, maintainable, and aligned with modern cloud and data engineering standards.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 6+ years of backend engineering or QA automation experience in complex software environments.
- Strong programming experience in Python, with deep expertise in backend development and test automation.
- Hands-on experience building automated testing frameworks using Selenium and pytest.
- Solid understanding of SQL and relational databases, along with familiarity with NoSQL systems.
- Experience developing and integrating backend systems using Python-based frameworks such as Flask.
- Familiarity with frontend fundamentals including JavaScript, HTML, and CSS for testing and integration purposes.
- Experience working with version control systems and integrating code into large, existing codebases.
- Exposure to cloud environments (especially AWS) and monitoring tools such as Datadog or AWS Inspector.
- Strong analytical thinking, problem-solving ability, and attention to detail in complex systems.
- Excellent communication and documentation skills with the ability to collaborate across engineering teams.
- Familiarity with Linux environments, JIRA, and CI/CD workflows is highly valued.
- Competitive salary range: $86,320 – $160,308 depending on experience and location.
- Eligibility for performance-based bonuses and incentive programs.
- Comprehensive healthcare coverage including medical, dental, vision, and prescription plans.
- 401(k) retirement plan with company matching and immediate vesting.
- Paid time off, parental leave, and additional wellness-focused leave policies.
- Tuition reimbursement for job-related learning and continued education.
- Access to wellness programs including EAP, virtual healthcare, and chronic condition support.
- Voluntary benefits such as life insurance, disability coverage, legal services, and pet insurance.
- Inclusive workplace culture focused on professional growth and long-term development opportunities.