Software Developer chez IBM

Introduction

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

We are seeking a talented and motivated QA/Test Developer with performance testing expertise to join our dynamic team. The QA/Test Developer will play a crucial role in ensuring the reliability, scalability, and performance of our world class data security solution. You will work closely with the development and quality assurance teams to identify and address performance bottlenecks and ensure a seamless user experience. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face.

IBM Guardium Data Protection is a market leader in the data security domain. This enterprise-grade product protects sensitive data across hybrid cloud environments, databases, data warehouses, big data platforms, and file systems, serving thousands of customers globally.

Essential Job Functions

Performance Testing & Engineering

Design, develop, and execute performance, load, stress, and scalability tests for applications (including data security platforms such as Guardium or similar).

Define and implement performance testing strategies aligned with business and technical requirements.

Identify performance risks early and proactively suggest mitigation approaches.

Test Planning & Strategy

Create comprehensive performance test plans, scenarios, and workload models based on system architecture and usage patterns.

Collaborate with architects and developers to ensure performance considerations are integrated into the design phase.

Scripting & Automation

Develop, enhance, and maintain performance test scripts using tools such as Apache JMeter, LoadRunner, or equivalent.

Contribute to CI/CD pipeline integration for automated performance regression testing.

Monitoring, Analysis & Optimization

Monitor application and infrastructure performance using APM and monitoring tools.

Analyze test results, identify bottlenecks (CPU, memory, I/O, network, database), and provide actionable insights.

Work closely with development and DevOps teams to tune application performance.

Reporting

Prepare detailed performance test reports, dashboards, and executive summaries.

AI-Driven Testing & Innovation

Leverage AI-assisted tools (e.g., GitHub Copilot or similar) to accelerate scripting, test design, and analysis.

Explore modern performance engineering practices, including predictive analysis and intelligent test optimization.

Collaboration & Documentation

Collaborate with cross-functional teams including QA, development, DevOps, and product management.

Maintain thorough documentation of test strategies, scripts, configurations, and results.

Continuous Improvement

Stay current with emerging trends, tools, and best practices in performance testing and engineering.

Drive improvements in performance testing processes, tools, and frameworks.

Required technical and professional expertise

Required Skills and Competencies

Proven experience in performance testing, including load testing, stress testing, and scalability testing

Hands-on skills on SQL and Database performance analysis tricks and tools

Hands-on knowledge of continuous integration and continuous delivery and source code management (preferably GIT)

Strong proficiency in performance testing tools and scripting languages (e.g., JMeter, LoadRunner, Gatling)

Knowledge of software development methodologies, software architecture, and systems

Working knowledge in Linux/Redhat and containerization technology such as Docker, Kubernetes

Knowledge of logging frameworks or ELK(Elastic, logstash, Kibana)

Good problem-solving skills and proficiency in Java or Groovy

Strong scripting skills in at least one language (BASH, Groovy)

Ability to manage multiple projects, while ensuring that commitments and timelines are met

Familiarity with AI-powered development tools and willingness to adopt AI assistants for code generation, test automation, and productivity enhancement

Good to Have Skills and Competencies

Experience with monitoring frameworks (Nagios, Prometheus, DataDog, App dynamics etc)

Experience with Unix/Linux commands related to system performance including top, iostat, dstat, sar, vmstat

Experience with performance assessment tooling and technologies such as JMeter, JConsole, perf and be able to develop custom tooling

Experience in Graphite or Grafana dashboards

Knowledge of data security and compliance requirements

Experience with AI/ML tools for test optimization, predictive analytics, or automated test generation

Hands-on experience with GitHub Copilot, IBM watsonx Code Assistant, or similar AI coding assistants

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.