Performance Test Engineer Python Data

Company Description:

Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Job Description:

The Performance Test Engineer helps deliver the quality and performance of large scale, cloud based multi-platform software products that includes; web, API and mobile application interfaces. This role involves working closely with Software Developers and Devops engineers that includes leveraging shift-left methods to understand a complex domain and product. The performance engineer focuses on contributing to the development of performance Integration tests and end-to-end tests through open source test frameworks for overall system testing within an Agile environment. You will also be required to design an optimal test environment to simulate real-time scenarios. They will also be responsible to identify the root cause of performance bottleneck and work with respective team to resolve them.

Responsibilities / Duties:

• Building robust, scalable, and high-quality test automation solutions for regression and performance testing
• Create strategy to address how performance testing will be integrated within sprints
• Checking for product scalability, reliability, consistency, and performance
• Create and implement end to end mobile performance testing strategy
• Participating in product design and architectural discussions to understand application performance requirements
• Performing high-class debugging
• Researching test tools, methodologies, and trends and upgrading existing practices and processes

Qualification / Experience

• 5+ years of experience in Performance Testing using Python
• Performance testing experience(5+ years) using Locust.io
• Hands-on exposure to quickly identify performance bottlenecks using APM tools(New Relic, AppDynamics, Dynatrace)
• Hands on experience working with Kubernetes micro service setup environment
• Strong with Python programming skills.
• Strong understanding of basic DB tuning, application server tuning and common issues around performance and scalability.
• Good knowledge of Linux systems and experience with at least one common endpoint platform (OS/X, Windows, iOS, Android)
• Strong communication and problem-solving skills desired
• Experience building highly automated test environments using virtual and cloud resources(AWS) is strongly desired
• Ability to troubleshoot complex systems
• Experience generating test reports from both tools and manually
• BS/MS in Computer Science or related field

Disclaimer:If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE).