Performance Testing Engineer

About the role

As a Performance Testing Engineer, you will help ensure that our applications deliver excellent performance, scalability, and reliability before reaching production.

You will collaborate with business stakeholders, developers, testers, architects, DevOps Engineers, and Infrastructure Teams to design, execute, and analyze performance tests that validate system behavior under realistic workloads. Your work will contribute directly to improving customer experience, reducing production risks, and supporting high-quality software delivery across multiple business domains.

This role offers the opportunity to work with modern performance engineering practices, enterprise-scale applications, cloud-native technologies, CI/CD pipelines, and observability platforms while continuously developing your technical expertise across different technology stacks.

Why Join Us

You'll become part of a growing Performance Engineering team responsible for ensuring the scalability, resilience, and reliability of enterprise applications across multiple business domains and entities.

Working alongside experienced engineers, you'll gain exposure to enterprise-scale systems, modern testing technologies, observability platforms, automation practices, and cloud-native architectures while contributing to a culture of continuous improvement and engineering excellence.

Key responsibilities

Performance Test Planning

Participate in discovery/analysis sessions to understand business objectives and non-functional requirements (NFRs).

Asses potential performance risks introduced by new features or architectural changes.

Define appropriate performance testing strategies based on business and technical requirements.

Design comprehensive Performance Test Plans/Assessment Documents, covering scope, objectives, workload models, success criteria, and execution approaches.

Collaborate with stakeholders to clarify assumptions, risks, and expected system behavior.

Test Design & Script Development

Develop reusable and maintainable performance test scripts.

Design realistic workload models based on production usage patterns and be able to propose proper approaches for load testing the applications.

Implement parametrization, correlation, dynamic data handling, and reusable components either in new-script or by using existing frameworks.

Support testing across Web, Mobile, API, and microservice architectures.

Maintain test assets following coding and documentation standards.

Performance Test Execution

Design, configure, and execute various performance test types including:

Load Testing

Stress Testing

Spike Testing

Endurance (Soak) Testing

Scalability (Limit) Testing

Capacity Testing

Other test types (when applicable)

Monitor execution progress, validate results, and ensure test integrity throughout the testing lifecycle.

Performance Analysis

Analyze test results to evaluate:

Response times

Throughput

Transaction success rates

Error rates

Resource utilization

Scalability

System stability

Identify performance bottlenecks and correlate application behavior with infrastructure metrics (from used observability tools) to determine root causes and provide recommendations.

Reporting & Recommendations

Produce clear technical and executive performance testing reports (following pre-existing templates or from scratch).

Present findings to technical and non—technical stakeholders.

Document risks, bottlenecks, trends, and improvement opportunities.

Provide recommendations to improve application performance, scalability, and stability.

Support development teams during performance optimization activities.

Automation & Continuous Performance Testing

Contribute to integrating performance testing into CI/CD pipelines.

Support automated performance test execution using enterprise tools and APIs.

Continuously improve testing processes, standards, and best practices.

Required Technical Skills

Performance Testing

Experience with one or more performance testing tools:

Preferred:

OpenText LoadRunner Enterprise

OpenText VuGen

OpenText Analysis Nice to have:

Apache JMeter

Gatling

K6

NeoLoad / Blazemeter

Performance Engineering Knowledge

Understanding of:

Performance testing methodologies

Performance Engineering principles

Workload modelling

Test planning

Performance bottleneck identification

Scalability concepts

Capacity planning fundamentals

Performance analysis techniques Protocols & Technologies:

Knowledge of:

o HTTP / HTTPS

o REST APIs

o SOAP

o GraphQL (nice to have)

o WebSockets (nice to have)

Understanding of:

o Web applications

o APIs

o Distributed systems

o Microservices architecture

o Mobile applications (nice to have)

Scripting & Programming

Knowledge of one or more:

o JavaScript

o Java

o Python

o Groovy

Basic scripting skills are expected for automation, data manipulation, and script creation & customization.

Our main development programming language is JavaScript and usage of internal framework available in LoadRunner Enterprise.

Monitoring & Observability:

Exposure to monitoring platforms is a plus:

o Dynatrace

o AppDynamics

o Icinga

o Grafana

o Datadog

o Splunk

o ELK Stack

o Others

Ability to interpret infrastructure and application metrics is considered an advantage. Understanding JVM and GC processing is also an advantage.

DevOps & CI/CD:

Basic understanding of:

Git

GitLab CI *

Jenkins *

Azure DevOps *

GitHub Actions *

* represents an advantage

Experience integrating performance testing into delivery pipeline, following best practices, is considered and advantage.

Professional Skills

The successful candidate demonstrates:

Strong analytical thinking

Excellent problem-solving abilities

Attention to detail

Curiosity and willingness to learn

Effective communication skills

Team collaboration

Ability to explain technical concepts to non-technical stakeholders

Ownership and accountability

Time management and organizational skills

Experience Expectations

Expected to:

Understand performance testing fundamentals.

Ability to work independently and as part of a team.

Independently design and execute performance test campaigns.

Create complex scripts and workload models following production patterns.

Develop reusable scripting components.

Perform root cause analysis using monitoring platforms.

Produce detailed Performance Testing Reports with in-depth analysis of applicative and infrastructure metrics & correlations.

Collaborate directly with development and infrastructure teams.

Provide optimization recommendations.

Support junior engineers through knowledge sharing.

Nice to Have:

Kubernetes

Test automation frameworks

Cloud platforms (Azure, AWS, GCP)

Infrastructure monitoring

Networking fundamentals

AI-assisted testing tools / scripting

Enterprise applications & knowledge of cloud scaling practices (HPA / VPA etc)

ISTQB Certification Foundation or Advanced.

Any other relevant certifications for Performance Testing or Application related (i.e Cloud Certifications).