Principal Engineer – GCP

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement the performance engineering strategy for cloud-native applications on Google Cloud Platform (GCP).

• Act as the expert in application performance, scalability, and observability within distributed systems.

• Evaluate and enhance application performance across microservices, APIs, databases, and high-transaction workflows.

• Detect and address performance bottlenecks that affect user experience, such as patient data retrieval, historical data loading, and real-time clinical processes.

• Design, conduct, and manage performance, load, stress, endurance, and scalability tests utilizing leading industry tools.

• Utilize statistical analysis and performance metrics to uncover trends, predict system behavior, and offer actionable insights.

• Work collaboratively with software engineering, architecture, DevOps, Site Reliability Engineering (SRE), database, and infrastructure teams to implement enhancements in performance.

• Lead and mentor a team of 4-5 Performance Engineers, establishing best practices, technical standards, and initiatives for continuous improvement.

• Propel the automation of performance testing and its integration within CI/CD pipelines.

• Present findings on performance assessments, risks, capacity planning suggestions, and optimization strategies to technical leaders and executive stakeholders.

• Promote a performance-first engineering culture throughout the software development lifecycle.

⛳️ Requirements

• Over 10 years of experience in Performance Engineering, Performance Testing, or Application Performance Optimization.

• Expert-level proficiency in designing and implementing enterprise-scale performance testing strategies.

• Extensive knowledge of Google Cloud Platform (GCP), including cloud observability, monitoring, and performance enhancement.

• Strong grasp of distributed cloud-native architectures, microservices, REST APIs, and containerized applications.

• Experience in analyzing application performance across databases, application servers, APIs, and cloud infrastructure.

• Practical experience with one or more performance testing tools, such as OpenText LoadRunner Enterprise (LRE), Apache JMeter, or Gatling.

• Strong understanding of performance monitoring and observability platforms.

• Experience in interpreting large performance datasets and applying statistical analysis to identify trends and capacity limitations.

• Exceptional written and verbal communication skills, with the capability to convey technical findings to both engineering teams and executive leadership.

• Demonstrated experience in leading and mentoring technical teams within fast-paced, high-availability environments.

🏝️ Benefits

• Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus.

• Career coaching, global career opportunities, non-linear career paths, internal development programs for management and technical leadership.

• Involvement in complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platform subscriptions, pass-it-on sessions, workshops, and conferences.

• Hybrid work model and flexible working hours, employee assistance program.

• Comprehensive global wellbeing program, with access to wellbeing applications.

• Participation in global internal tech communities, hobby clubs, interest groups, inclusion and diversity programs, events, and celebrations.