Sr. Software Development Engineer in Test (100% Remote)

at  ClearCaptions LLC

WHO WE ARE:

Since our founding in 2011, our mission has been to improve the lives of seniors and their caregivers. We are deeply passionate about communication and committed to becoming the foremost provider of services and solutions that enable seniors to lead more meaningful and independent lives. We also understand the power of connection and the profound impact it has on the lives of individuals who are hard-of-hearing. By utilizing enhanced automatic speech recognition, human captioning, and innovative product development, we deliver easy-to-use, cutting-edge technology to our primarily senior customer base. Our near real-time phone captioning technology allows individuals with hearing loss to see what callers are saying, enabling them to regain their connection to the world.
ClearCaptions is a Federal Communications Commission (FCC)-certified telephone captioning provider, adhering to the highest industry standards of privacy, security, and professionalism. We recognize the importance of maintaining the trust and confidence of our customers, and we continually strive to exceed their expectations.
For more information about our services please visit clearcaptions.com.

POSITION SUMMARY:

To develop and enhance automated testing frameworks for mobile and IoT platforms, incorporating AI technologies and advanced analytical methods. This role requires a blend of technical expertise in mobile and IoT automation and a strong capability in AI-driven solutions, demanding exceptional critical thinking to address complex challenges and innovate testing processes.
This is a Remote/Work from Home position reporting to Sr. Software QA Manager

QUALIFICATIONS:

• Bachelor’s degree or equivalent
• 5 years of software development experience.
• Experience in Java, Python or equivalent.
• Experience with mobile test automation tools like Appium.
• Strong foundation in AI and machine learning applications in testing.
• Expertise in automated test framework architecture, particularly in cloud-based and AI-driven environments.
• Advanced problem-solving skills and the ability to critically evaluate technological integrations.
• In-depth knowledge of current and emerging AI technologies and their applications in the industry.
• Exceptional analytical and problem-solving skills.
• Excellent verbal and written communication skills, presentation, and problem-solving skills.
• Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes.
• Ability to work collaboratively with colleagues and staff to create a high-quality results-driven, team-oriented environment.
• Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality.
• Willingness and ability to work flexible hours and travel (up to 5%); will include some overnight

travel.

• Proficient in MS Office, modern communication tools for virtual teams (i.e., MS Teams)

• Automated Testing
• Design and execute AI-enhanced automated tests based on business requirements that are executable in a CI/CD pipeline.
• Engage with other departments to optimize testing methods and address significant points of failure using predictive analytics.
• Responsible for the development of automated tests that utilize AI to proactively detect and resolve issues, providing a reliable metric of platform risk and coverage.
• Reduce manual testing efforts through intelligent automation.
• Develop and maintain detailed technical reports for developers and high-level reports for business stakeholders.
• QA Architecture
• Collaborate with stakeholders to develop AI-based testing frameworks that adapt to technological advancements and evolving business needs.
• Critically evaluate and document effective solutions and strategies to integrate AI into the testing processes.
• Design a scalable and self-adapting testing framework that incorporates AI to enhance platform capabilities.
• Develop self-healing mechanisms within the testing framework to minimize disruptions and support business growth.
• Research & Development (R&D)
• Stay updated with AI advancements and assess their potential impact on automated testing.
• Test and analyze new technologies, employing critical thinking to determine their feasibility and integration into existing systems.
• Continuous innovation in testing strategies, focusing on the integration of the latest AI technologies.
• Prototype and validate new technologies to maintain the cutting-edge status of the testing frameworks.