Benchmarking Engineer: Linux, Networks & Automation

GlobalLogic Inc.; Kraków; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Relocation options

Rotation opportunities

Learning & Development support

Inclusive work environment

Job summary

GlobalLogic is seeking a Performance / Infrastructure Benchmarking Engineer to join the Hardware Optimization Team in Kraków. You will lead benchmarking and performance validation of compute and network fabrics, automate tests with Ansible, and archive metrics in Parquet in object storage.

You will analyze large benchmark results with Pandas and collaborate with software and infra teams to identify bottlenecks, ensuring system stability before production.

Qualifications

• BS in computer science, IT, or related field.
• Heavy experience in Linux systems engineering, performance engineering, or test automation infrastructure.
• Experience with benchmarking suites (iperf, sysbench, fio).

Responsibilities

• Configure, automate, and provision reproducible testbed environments across compute and networking using Ansible.
• Design, execute, and automate multi-node benchmarks measuring throughput, latency, CPU, and I/O with iperf and sysbench.
• Build automated data ingestion pipelines writing benchmark telemetry to S3 storage using Parquet, enabling quick analytics.
• Perform automated regression and statistical analysis with Python and Pandas to detect regressions.
• Collaborate with software and infrastructure teams to identify performance bottlenecks and validate stability before production.

Skills

Linux systems engineering

Benchmarking experience

Python programming

Test automation

Education

Bachelor of Science in Computer Science / Information Technology

Tools

Ansible

iperf

sysbench

fio

Parquet

Pandas

NumPy

S3-compatible storage

Job description

GlobalLogic is seeking a Performance / Infrastructure Benchmarking Engineer to join the Hardware Optimization Team in Kraków. You will lead benchmarking and performance validation of compute and network fabrics, automate tests with Ansible, and archive metrics in Parquet in object storage.

You will analyze large benchmark results with Pandas and collaborate with software and infra teams to identify bottlenecks, ensuring system stability before production.