Performance Testing Engineer - Parametric at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Performance Testing, Cloud Based Platforms, AI Powered Tools, Load Testing, Stress Testing, Endurance Testing, Performance Engineering, Performance Monitoring Tools, Continuous Performance Testing, System Architecture, Network Protocols, Database Performance, Analytical Skills, Problem-Solving Skills, Communication Skills, Scripting Languages

Industry

Financial Services

Description

Design and implement performance tests, including load tests, stress tests, and endurance tests. Utilize performance testing tools and frameworks (e.g., JMeter, LoadRunner, Gatling, BlazeMeter). Analyze performance test results to identify performance bottlenecks, areas for improvement, and potential issues. Develop and implement solutions to address performance issues, including code optimizations and infrastructure improvements. Monitor system performance in production environments and identify potential performance degradation. Skill set: Performance Testing, Cloud based platforms (AWS, Azure) AI powered tools Bachelor's degree in Computer Science or related field 4+ years of experience in performance testing, with a strong focus on load testing, stress testing, and endurance testing. Must have experience and exposure to cloud based platforms like AWS and Azure, AI powered tools. Preferably expertise around performance engineering and performance monitoring tools like Datadog, Dynatrace and AppDynamics. Expertise in Continuous performance testing by integrating to CI/CD pipeline. Experience with performance testing tools and frameworks (e.g., JMeter, LoadRunner, Gatling, BlazeMeter). Strong understanding of system architecture, network protocols, and database performance. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills. Experience with scripting languages (e.g., Python, Java). Experience with Financial services industry Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Work closely with development teams to understand application architecture and identify potential performance risks. Participate in code reviews and provide feedback on performance-related aspects of the code. Contribute to the development and maintenance of performance testing documentation and knowledge base.

Responsibilities

Design and implement performance tests, including load tests, stress tests, and endurance tests. Analyze performance test results to identify performance bottlenecks and develop solutions to address performance issues.