Talantix.io
Remote Position•12.03.26
AI SCORE 8.5

Software Development Engineer in Test (SDET) - Remote

$90K–$130K/year
RemoteAutomated Testing
Python•JavaScript•TypeScript•Cypress•Appium•Docker•Kubernetes•TensorFlow

About the Role

We are seeking a talented Software Development Engineer in Test (SDET) to join our dynamic team in a fully remote capacity. As a Software Development Engineer in Test, you will play a crucial role in enhancing our automated testing processes and ensuring the quality of our software products. This position offers an exciting opportunity to work on high-stakes national security projects, where your contributions will have a significant impact.

What You'll Do

  • Design, develop, and maintain automated test frameworks using tools such as Cypress and Appium.
  • Collaborate with cross-functional teams to define and implement testing strategies for various software applications.
  • Utilize programming languages like Python, JavaScript, and TypeScript to create robust test scripts.
  • Participate in the CI/CD pipeline to ensure seamless integration and deployment of software.
  • Conduct performance testing and debugging to identify and resolve issues in a timely manner.

Requirements

  • 3+ years of experience as a Software Development Engineer in Test (SDET) or similar role.
  • Strong knowledge of automated testing frameworks and tools, including Cypress, Appium, and Selenium.
  • Proficiency in programming languages such as Python, JavaScript, and TypeScript.
  • Experience with CI/CD practices and tools like Docker and Kubernetes.
  • Familiarity with machine learning concepts and tools like TensorFlow is a plus.

Nice to Have

  • Experience in the financial sector or working on national security projects.
  • Knowledge of QA practices and methodologies.
  • Familiarity with behavior modeling and simulation infrastructure.

What We Offer

  • Fully remote work environment with flexible hours.
  • Autonomy and trust within a small, collaborative team.
  • Opportunities for personal and professional growth in a fast-paced startup culture.
  • Engagement with high-stakes national security projects that make a difference.
Why This Job8.5 of 10

This remote SDET position offers a unique opportunity to work on impactful national security projects while enjoying the flexibility of remote work. Join a fast-paced startup culture with opportunities for growth.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in automated testing frameworks such as Cypress and Appium, with hands-on experience in writing test scripts using Python and TypeScript to ensure robust software quality.

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Self-motivated and disciplined remote worker who thrives in a fully remote environment, demonstrating strong time management and the ability to deliver results independently without direct supervision.

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Analytical mindset with experience in containerization and orchestration technologies like Docker and Kubernetes, enabling efficient test environment setup and deployment in continuous integration/continuous deployment (CI/CD) pipelines.

Learning Resources

→Automated Testing with Cypressguide
→Python for Data Science and Machine Learning Bootcampcourse
→Kubernetes Official Documentationarticle

Career Path

Software Development Engineer in Test (SDET)(Now)→Senior SDET or Test Automation Architect(1-2 years)→Quality Engineering Manager or Software Development Manager(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption
65%
Investment
+150%
Labour Demand
+20%
Avg Salary
$110K

Skills & Requirements

Required
PythonJavaScriptTypeScript
Growing in Demand
Machine LearningCloud ComputingTest Automation Frameworks
Declining
Selenium WebDriverJUnit

Domain Trends

Increased Automation in Testing
The demand for automated testing frameworks has increased by 45% in the last two years, driven by the need for faster release cycles.
Shift Towards AI-Powered Testing
AI-driven testing solutions are expected to grow by 30% annually, with companies increasingly adopting tools that leverage machine learning for predictive analysis.
Rise of Containerization in Development
Use of Docker and Kubernetes in CI/CD pipelines has surged, with a 50% increase in adoption rates among tech companies, enhancing scalability and efficiency.

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