Software Engineer, Performance and Test Automation

About Ciena

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

How You Will Contribute as a Software Engineer, Performance and Test Automation

• Develop and maintain automated test scripts to streamline testing processes and ensure optimal product quality.
• Automate performance data collection and analysis to identify bottlenecks and optimize system behavior.
• Generate actionable test result reports for debugging and root cause analysis.
• Create tools to support Product Assurance and Verification teams in testing and data collection.
• Analyze and optimize software performance for critical use cases, capturing meaningful metrics and monitoring trends.
• Build dashboards and visualizations using tools like Grafana to present trends and insights effectively.
• Collaborate with software designers, systems architects, and test engineers to resolve issues and enhance product functionality and robustness.

The Must Haves

• Bachelor’s degree in Computer Science, Software Engineering, Computer Systems, or a related field.
• Proficiency in programming and scripting languages such as Python, C/C++, JavaScript, and Bash.
• Familiarity with tools like Git, JIRA, Jenkins, Visual Studio Code, Docker, Grafana, and SQL/NoSQL databases.
• Experience working in Linux-based environments.
• Knowledge of ETL pipeline design and development for data processing and transformation.
• Strong problem-solving skills and ability to troubleshoot software defects.
• Understanding of structured programming and design concepts.

Nice To Haves

• Familiarity with automated software testing methodologies.
• Knowledge of protocols such as REST, gRPC, and Netconf.
• Experience with YANG modeling language, JSON, and database management (e.g., SQL).
• Understanding of software performance profiling tools like Linux perf and flame graphs.
• Exposure to machine learning and data analytics techniques for performance analysis.
• Experience with telecommunication equipment and tools.

Key skills/competency

• Automated Testing
• Performance Optimization
• Python
• C/C++
• Linux
• Data Analysis
• Grafana
• ETL Pipelines
• Troubleshooting
• Scripting