Responsibilities
- Design, develop, and execute performance and load tests to validate system scalability, stability, and reliability.
- Identify, analyze, and report performance bottlenecks, providing actionable recommendations for improvement.
- Develop and maintain testing frameworks, scripts, and tools to support performance testing efforts.
- Collaborate with engineering teams to understand system architecture and guide performance testing strategies.
- Monitor system performance in production and support root cause analysis for performance-related issues.
- Provide guidance on performance optimization and share best practices through documentation, training, and discussions.
Qualifications
- Bachelor’s/Master’s in Computer Science, Information Technology, or a related field.
- 3-5 years of hands-on experience in performance testing and engineering, ideally within SaaS environments.
- Proficiency in tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or similar.
- Strong understanding of CI/CD pipelines and containerization technologies like Kubernetes and Docker.
- Solid programming skills in Java, Python, or related languages, with experience in databases like PostgreSQL.Familiarity with analyzing performance metrics using tools such as Grafana, Prometheus, or similar.
Preferred
- Experience in Agile methodologies and working with global, distributed teams.
- Expertise in testing large-scale systems and handling high volumes of data.
- Knowledge of React and JSON for test data preparation and API performance testing.
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What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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