Sr. QA Automation Engineer

Description

As a Sr. QA Automation Engineer , you will be responsible for designing and implementing robust automation frameworks and strategies that enhance our software development lifecycle. In addition to your technical expertise, you will manage and mentor a team of automation engineers, ensuring the successful execution of automation projects. You will work closely with cross-functional teams to ensure seamless integration of automation processes, improving the overall efficiency and quality of our software products.

Key Responsibilities

• Design, develop, and implement comprehensive automation frameworks and strategies for software development and testing.
• Collaborate with software engineer, data department and other stakeholders to identify automation needs and opportunities.
• Create and maintain detailed documentation for automation processes, tools, and frameworks.
• Conduct code reviews and guide development teams on best practices for automation.
• Continuously evaluate and improve automation tools, technologies, and processes to ensure they meet the evolving needs of the organization.
• Troubleshoot and resolve automation-related issues and challenges.
• Monitor team performance, set goals, and ensure timely completion of projects.
• Foster a collaborative and innovative team environment.
  
  

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• Proven experience as a software automation developer .
• Experience analytics platforms—a must.
• Experience completing product iterations based on insights from data.
• Strong knowledge of automation frameworks, tools, and technologies for Ruby.
• Proficiency in Ruby, Python, SQL, Linux, and AWS.
• Strong sense of ownership, ability to work independently, and proven track record of driving products.
• Shipped a consumer API used concurrently by thousands of users.
• Experience working with 3rd-party APIs and complex database structures.
• Strong communication and collaboration abilities.
• Ability to work effectively in a fast-paced, dynamic environment.
• Experience with big data technologies and ETLs like Spark, S3, Redshift, Temporal, etc.
  
  

• Knowledge of containerization and orchestration tools, specifically Docker and Kubernetes.
• Familiarity with performance testing and security testing automation.
• Understanding of network concepts.
• Previous experience in a leadership or mentorship role.