Software Engineer - Testing

9 Months ago • 2 Years + • Quality Assurance

Job Summary

Job Description

Dynamo AI is seeking a Software Engineer in Testing to lead QA processes, design and implement testing automation frameworks, and ensure the reliability, performance, and scalability of their AI technologies. Responsibilities include leading product QA, developing automated API and UI tests using tools like Postman, Selenium, and Puppeteer, building test automation frameworks for Kubernetes-based ML services, and continuously improving testing processes. The ideal candidate will have 2+ years of experience in software testing and automation, proficiency in relevant frameworks and coding skills in Python and TypeScript. Experience with CI/CD and Kubernetes is a plus.
Must have:
  • Lead QA process
  • API & UI test automation (Postman, Selenium, Puppeteer)
  • Python & TypeScript coding skills
  • Automation framework development
  • 2+ years experience in software testing
Good to have:
  • CI/CD experience
  • Kubernetes & containerized environments familiarity

Job Details

About the job

Join our team at Dynamo AI as an Software Engineer in Testing, where you'll play a key role in advancing our AI-driven solutions through innovative testing automation. We're looking for a skilled professional who can be responsible for our QA process, design and implement testing automation frameworks for the engineering team. Your expertise will be crucial in ensuring the reliability, performance, and scalability of our AI technologies.

Responsibilities

  • Product QA: Lead the QA process for our releases. Guide the engineering team in validating the functionalities and performance of our product
  • API Testing Automation: Develop automated tests for APIs using tools like Postman or similar frameworks to validate functionality, performance, and reliability
  • UI Testing Automation: Create automated UI tests using tools such as Selenium or Puppeteer to ensure consistent user interface functionality across platforms and devices
  • Automation Framework Development: Collaborate with the DevOps team to design and build test automation frameworks tailored for testing Kubernetes-based ML services to ensure robustness and scalability
  • Continuous Improvement: Continuously enhance testing processes and methodologies to improve efficiency, reliability, and test coverage
  • Documentation: Document test cases, procedures, and results comprehensively to ensure clarity and maintainable testing processes


Qualifications

  • Bachelor's degree in Computer Science or a related field (or equivalent experience)
  • 2+ years of experience in software testing and automation framework development
  • Proficiency in test frameworks such as Postman, Selenium, and Puppeteer
  • Solid coding skills in Python and TypeScript
  • Strong sense of responsibility and a commitment to continuous improvement
  • Experience in developing CI/CD systems is a plus
  • Familiarity with Kubernetes and containerized environments is a plus


Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency. This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process. We strive to ensure our practices promote fairness, equity, and transparency for all candidates.

Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.

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About The Company

Dynamo AI is pioneering the first end-to-end secure and compliant generative AI infrastructure that runs in any on-premise or cloud environment.


With a holistic approach to GenAI compliance, we help accelerate enterprise adoption to deploy secure, reliable, and compliant AI applications at scale.


Our platform includes three products:

- DynamoEval evaluates GenAI models for security, hallucination, privacy, and compliance risks.

- DynamoEnhance remediates identified risks, ensuring more reliable operations.

- DynamoGuard offers real-time guardrailing, customizable in natural language and with minimal latency


Our client base and partnerships include Fortune 1000 companies across all industries, which underscores our proven success in securing GenAI in highly regulated environments.

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