High-Performance Engineer
1 month ago
Pyramid Consulting is seeking a highly skilled Performance Engineer to join our team. This is a long-term contract opportunity with the potential for growth and development.
The ideal candidate will have extensive experience in performance engineering, testing, and chaos engineering for AI/ML platforms. They will be responsible for conducting performance testing on Python microservices, identifying and proposing solutions for performance bottlenecks, and optimizing the performance of python microservices across the platform.
The successful candidate will also possess excellent communication skills, with the ability to work effectively with key partners and stakeholders to understand performance requirements and map them to testing requirements.
Salary and Benefits
We offer a competitive salary range of $55-$60 per hour, including employee benefits such as health insurance, 401(k) plan, and paid sick leave.
Key Responsibilities
Some of the key responsibilities of this role include:
- Leading multiple AI-ML/LLMs platforms/applications for performance engineering/testing and Chaos Engineering.
- Conducting performance testing on Python microservices (RESTful and gRPC) for AI-ML platforms to ensure scalability, resilience, and efficiency.
- Identifying and proposing solutions for performance bottlenecks on Python microservices (RESTful and gRPC) considering platform limitations, throughput, and interservice overhead.
- Optimizing the performance of python microservices (RESTful and gRPC) across the platform.
- Working with key partners and stakeholders in understanding performance requirements and mapping them to testing requirements by creating the test plan.
- Acting as an industry expert and go-to person for all supported application's performance analysis and recognized as an expert on various performance management and analysis tools such as Load runner, Dev Test, AppD, Elastic, Harness, Jenkins.
- Partnering and leading the key performance metrics, bottlenecks, and obtaining the buy-in from key stakeholders.
- Looking beyond current performance management practices and leading and mentoring the team to ensure bug-free and one of the best customer experiences for AI/ML platforms.
- Driving performance analytics capability using Elastic, Splunk, and other tools for quick resolutions.
The ideal candidate will possess the following qualifications and experience:
- Key Skills: Performance Center/Load runner, Blaze meter or JMeter, AI/ML/LLM, Python.
- 2+ years of designing, developing, testing, optimizing python microservices using FASTAPI, FLASK, DJANGO.
- 5+ years of Performance Center/Load runner, Blaze meter or JMeter.
- 2+ years of designing, developing, testing, optimizing python microservices using gRPC.
- 3+ years of Linux experience.
- 2+ years of Service virtualization (SV) experience with DevTest and/or other SV tools.
- 2+ years of experience with monitoring tools - AppD, Elastic, Grafana, Splunk.
- Hands-on MLOps / LLMOps Experience.
- Solid understanding and development experience with of python.
- Solid understanding of ML and DL Models.
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