Performance & Load Test Engineer – Tooling & AI

Ethereum Technologies

Dallas (TX)

On-site

USD 110,000 - 170,000

Full time

17 hours ago
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Job summary

Ethereum Technologies is seeking a Software Engineer specializing in Performance and Load Testing to build tooling and infrastructure for realistic workloads in large-scale environments. You will develop traffic-replay systems, process API logs, and transform datasets into test scenarios to help teams reproduce and remediate performance issues.

The ideal candidate has experience with distributed systems, APIs, data processing, automation, and performance engineering, and a drive to apply

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
  • Professional software engineering experience.
  • Strong programming experience with Python, Java, Go, C++, or similar languages.
  • Strong understanding of HTTP, REST APIs, JSON, WebSockets, event-driven architectures, and distributed systems.
  • Experience building automation, developer tooling, or data-processing systems.
  • Experience working with large datasets, logs, or high-volume production telemetry.
  • Strong understanding of software performance concepts including latency, throughput, concurrency, resource utilization, and scalability.
  • Experience with databases and SQL.
  • Ability to troubleshoot complex issues across application and infrastructure layers.
  • Strong analytical and problem-solving skills.

Skills

Python
Java
Go
C++
Distributed systems
HTTP/REST APIs
JSON/WebSockets
Data processing
Automation tooling
Performance engineering
Databases/SQL
Troubleshooting
Analytical thinking

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Tools

None

Job description

Ethereum Technologies is seeking a Software Engineer specializing in Performance and Load Testing to build tooling and infrastructure for realistic workloads in large-scale environments. You will develop traffic-replay systems, process API logs, and transform datasets into test scenarios to help teams reproduce and remediate performance issues.

The ideal candidate has experience with distributed systems, APIs, data processing, automation, and performance engineering, and a drive to apply

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