SDET - Backend QA Platform Engineer [Remote]

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.

Accountabilities:

• 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.

Requirements:

• 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.

Benefits:

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.