Benchmarking Engineer

Introduction

Our organization is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity—and our organization is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let’s talk.

Your Role And Responsibilities

We are seeking a motivated and detail-oriented Engineer to support our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. This is an excellent opportunity to gain hands-on experience with benchmarking tools, cloud infrastructure, and enterprise data platforms.

Key Responsibilities

• Assist in deploying and configuring software stacks on cloud environments (AWS, Azure, GCP).
• Execute predefined benchmarking test plans using industry-standard tools and frameworks.
• Collect and organize performance data; assist in basic analysis and visualization using tools like Grafana or custom dashboards.
• Support the development and maintenance of benchmarking scripts and automation (e.g., Python, Bash).
• Document test environments, configurations, and outcomes with accuracy and attention to detail.
• Stay informed about emerging benchmarks and performance testing best practices.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 0-1 year of experience in software engineering, performance testing, or related technical roles.
• Basic familiarity with performance testing tools (e.g., JMeter, Locust) and scripting languages (e.g., Python, Bash).
• Exposure to cloud platforms (AWS, Azure, GCP) through coursework, projects, or internships.
• Strong organizational skills and ability to follow detailed technical instructions.
• Eagerness to learn and grow in benchmarking and performance engineering.

Preferred Technical And Professional Experience

• Master’s degree in Computer Science, Engineering, or related field.
• 1+ year of experience in software engineering, performance testing, or related technical roles.
• Hands-on experience with containerization (Docker) or orchestration (Kubernetes) is a plus.
• Familiarity with data platforms or distributed systems concepts.