Principal Performance Engineer Cortex Cloud
Principal Performance Engineer Cortex Cloud
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1 Vacancy
Job Description
Your Career
We are seeking a Principal Performance Engineer to lead performance engineering initiatives for Cortex Cloud. In this role you will define and implement strategies to measure validate and optimize the performance scalability and reliability of distributed microservices running in dynamic cloud environments. Your focus will be on developing robust performance testing frameworks building automation for continuous performance validation and identifying bottlenecks across the stack.
As a handson technical leader you will work closely with Engineering DevOps SRE Product and QA teams to ensure our platform consistently delivers lowlatency highthroughput and resilient services at scale. Youll also influence architectural decisions with a performancefirst mindset and shape best practices for performance testing observability and tuning.
Your Impact
- Design and implement endtoend performance testing strategies for distributed cloudnative systems ensuring scalability reliability and responsiveness.
- Build and maintain robust reusable performance test frameworks and pipelines using tools like JMeter Locust or custom Pythonbased solutions.
- Develop and execute load stress soak and failover tests to simulate realworld usage patterns edge cases and peak load scenarios.
- Identify system bottlenecks resource contention and inefficiencies across services infrastructure and code; work crossfunctionally to drive resolution.
- Collaborate with Product and Customer Success teams to understand key customer workflows and usage patterns translating them into performance test scenarios.
- Integrate performance tests into CI/CD pipelines and staging environments to enable continuous performance validation and prerelease gatekeeping.
- Define and track key performance metrics (e.g. latency throughput system resource usage) and build dashboards using Prometheus Grafana or other observability platforms.
- Perform deepdive analysis of performance test results system telemetry and application profiling data (e.g. Flamegraphs heap dumps).
- Advocate for performancefirst design principles across engineering teams; influence architectural decisions to improve system efficiency and testability.
- Contribute to chaos engineering and fault injection efforts to validate system resilience under adverse conditions.
- Lead incident retrospectives related to performance degradation and provide guidance for proactive tuning and improvements.
- Thrive in a fastpaced environment owning performance initiatives from inception through implementation and continuous iteration.
Qualifications :
Your Required Experience
- 10 years of experience in software engineering or performance engineering with a strong focus on testing and optimizing distributed cloudnative systems.
- Proven track record in building and executing performance testing strategies in complex largescale environments.
- Strong programming and scripting skills in Python (preferred) along with experience using performance tools like JMeter Locust or similar.
- Expertise in performance profiling diagnostics and tuning across microservices architectures.
- Deep understanding of cloud platforms (AWS GCP Azure) Kubernetes orchestration and cloudnative service architectures.
- Handson experience with observability and monitoring tools such as Prometheus Grafana OpenTelemetry etc.
- Strong knowledge of CI/CD systems and infrastructure automation including Gitlab Jenkins or similar.
- Experience with Java JVM tuning Golang profiling is a plus.
- Excellent analytical debugging and troubleshooting skills at the system and application levels.
- Exceptional communication skills with the ability to influence architecture and drive performance culture across engineering.
- Bachelors or Masters degree in Computer Science Engineering or a related technical field.
- Experience in chaos engineering fault injection and resilience testing.
- Familiarity with capacity planning system tuning and infrastructure sizing for cloudnative applications.
- Strong knowledge of database performance caching strategies and distributed systems principles.
- Prior experience leading performance initiatives in multicloud or hybridcloud environments.
Additional Information :
The Team
Why Cortex Cloud
- Market Leader Be part of the fastestgrowing cloud security platform trusted by leading organizations around the globe and help ensure its quality scales with its success.
- Innovative Culture Collaborate with top minds in cybersecurity and automation where your ideas for smarter faster and more secure testing will be valued and implemented.
- Massive Impact Your work as an SDET will directly contribute to protecting the worlds most critical digital assets by ensuring our solutions are secure stable and productionready.
- Rapid Growth Join a highvelocity team where career growth and impact go hand in hand. As we scale youll have opportunities to take ownership lead initiatives and grow your technical expertise.
Compensation Disclosure
The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $147000 $237500/ YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
