Join our team as a Performance Engineer and take ownership of resolving complex performance challenges that extend beyond the capabilities of our in-house testing group. This role delves into the core of performance engineering, covering the entire software development lifecycle, architectural analysis, rigorous performance validation, strategic capacity planning, application performance management, and expert problem detection and resolution. You'll be instrumental in ensuring the optimal functionality and efficiency of our systems.

This position demands a proactive and analytical mindset. You will be responsible for investigating issues, optimizing system architecture, conducting in-depth performance testing, and managing application resources. Your contributions will directly impact system reliability and user experience.

- Spearhead independent problem-solving, aiming to become a subject matter expert (SME). - Actively participate and contribute valuable insights during team discussions. - Develop and propose effective solutions for work-related challenges. - Collaborate with diverse teams to pinpoint performance bottlenecks and suggest actionable improvements. - Monitor critical system performance indicators, producing detailed reports to guide strategic decisions. - Assist in the creation and refinement of performance testing strategies, aligning them with project objectives. - Mentor and support junior engineers, sharing knowledge and best practices in performance engineering.

- Minimum of 3 years of hands-on experience with Laboratory Information and Execution Systems is essential. - A strong grasp of software development lifecycle principles and system architecture is required. - Proficiency in utilizing performance testing tools and adhering to established methodologies. - Demonstrated ability to analyze application performance data and accurately identify the root causes of issues. - Familiarity with capacity planning techniques and effective resource management. - Proven skill in detecting and resolving problems within complex software environments. - A foundational educational background of 15 years of full-time study is mandatory.