Job Description

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As an SDET engineer, you will be responsible for designing, developing, and executing performance testing strategies to assess the performance and stability of SAS Risk Solutions. You will work closely with cross-functional teams including development, DevOps, and automation engineers to ensure the application meets performance goals, responds to stress scenarios, and scales efficiently. A strong background in DevOps and test automation is essential for success in this role. Key Responsibilities: • Performance Testing:
+ Design and develop performance test plans, scripts, and scenarios for SAS Risk Solutions.
+ Execute load, stress, endurance, and scalability tests to identify bottlenecks and performance issues.
+ Analyze test results and provide detailed reports with actionable insights and recommendations.
• Automation:
+ Integrate performance testing into CI/CD pipelines using Gitlab/Github CI and Shell/Python scripting
• DevOps Collaboration:
+ Work closely with DevOps teams to optimize system performance and resource utilization.
+ Implement monitoring and alerting solutions to proactively identify performance issues in production environments.
• SAS Risk Solutions Expertise:
+ Understand the architecture and functionality of SAS Risk Solutions to effectively design performance tests.
+ Collaborate with SAS developers and solution architects to align testing strategies with product requirements.
• Continuous Improvement:
• + Stay updated with the latest industry trends and tools in performance testing and DevOps.
+ Mentor junior team members and contribute to knowledge sharing within the team.

Requirement • At least 5 years of experience in performance engineering.
• Proficiency in performance testing tools such as LoadRunner.
• Experience with cloud platforms like Azure (preferred), AWS, Google and/or Openstack environments.
• Experience with containerization technologies like Docker and Kubernetes.
• Experience with automation frameworks and scripting languages like Python or Shell scripting.
• Experience of monitoring tools like Grafana, Application Performance Monitoring (APM) tools like Dynatrace, New Relic, or AppDynamics.
• Experience with SAS technology (preferred)
• Experience with Linux environments.
• Familiarity with CI/CD tools like Gitlab CI, Github Actions
• Familiarity with Agile software development methodologies.
• Understanding of network protocols, databases, and web technologies.

Behavioral Skills • Communicative team player
• Actively seeks to update own knowledge base and apply new concepts to work
• Ambitious individual who can work under their own direction towards agreed targets/goals and with a creative approach to work
• Able to understand and interpret requirements independently and build performance scenarios based on it


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