Important Information

Location: Hyderabad

Experience: 6+ years

Job Mode: Full-time 

 Job Summary :

The purpose of this criteria is to align the team on core competencies expected of the LPE and foster successful candidate analysis in the recruiting process. Our goal is to act with urgency to respond to Talent Acquisition in partnership to provide feedback, interview, rate, and provide final feedback on TA’s identified candidates.

We aim to focus our assessment on required knowledge, experience, and skills needed of the LPE to be successful in the role. It is important that we ensure our interview process is focused, targeted, and that we ensure candidates demonstrate the knowledge and skill base required

Responsibilities and Duties         :

• Proven ability to implement and drive performance test methodologies, principles, patterns, and practices across multiple parallel initiatives
• Experience applying software design principles and patterns to performance scripts and tests to promote reusability, extensibility, and valid test simulation execution
• Ability to define applicable performance metrics and leverage application monitoring tools to capture or convert to bellwether performance metrics that correlate with the targeted system bottleneck
• Software engineering skills with extensive experience writing code to automate configuration, automated use case and API work flow along with the ability to design, create, and configuring performance test scenarios in an enterprise environment
• Experience quantifying performance and scalability with the use of performance models
• Ability to lead and mentor other engineers on structured, predictable performance engineering techniques
• Proven ability to work across areas in an enterprise organization providing technical leadership and guidance in Vertex Performance Engineering Methodology and practices

Qualifications and Skills :

• Source Code Management: Github
• Performance Tools: JMeter, Grafana K6
• PE Methodology: analysis, planning, bottleneck analysis, performance analysis for responsiveness, scalability and efficiency
• Cloud Service Providers: AWS
• Computer Languages: Java, Javascript, Python
• DevOps automation
• Performance Models: Little’s Law, Universal Scalability Law, Amdahl’s Law

About Encora :

 Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.