DevOps Software Automation Engineer CPU Performance Benchmarking

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Santa Clara California that develops computer processors and related technologies for business and consumer markets. global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories graphics processors motherboard chip sets and a variety of components used in consumer electronics goods.

Job Title: DevOps / Software Automation Engineer CPU Performance Benchmarking

Work Location: Austin TX 78728

Duration: 12 Months

Work Type: Temporary Assignment

Job Type: Onsite

Job Description:

We are looking for a hands on DevOps / Software Automation Engineer to design build and operate an end to end automated CPU performance benchmarking platform. This role will work closely with CPU performance engineers to automate manual benchmarking workflows enable repeatable and scalable performance runs and deliver fast reliable performance insights across multiple benchmark suites.
You will be a critical force multiplier for performance engineers-owning automation CI/CD infrastructure execution workflows monitoring and troubleshooting-so performance teams can focus on analysis rather than operational overhead.

Key Responsibilities:

Performance Benchmarking Automation
- Design and implement fully automated workflows for CPU performance benchmarks (setup execution data collection validation and reporting).
- Translate manual performance engineering processes into scalable automation pipelines.
- Enable one click or CI triggered benchmark execution with standardized repeatable results.
- Automate log parsing metrics extraction and data structuring for downstream analysis.
CI/CD & Execution Orchestration
- Build and maintain CI/CD pipelines (Jenkins/GitHub) for benchmark execution and infrastructure workflows.
- Integrate automation with versioned benchmark configurations scripts and artifacts.
- Ensure reproducibility traceability and auditability of performance runs.
Infrastructure & Platform Engineering
- Automate bare metal and virtual server provisioning OS deployment and system configuration at scale.
- Manage Linux-based environments optimized for CPU performance testing.
- Containerize services (Docker) and orchestrate where applicable (Kubernetes).
Reliability Monitoring & Support
- Monitor platform health benchmark execution and infrastructure using observability tools.
- Actively unblock performance engineers during automated runs by debugging failures identifying root causes and applying quick fixes or workarounds.
- Perform capacity planning and scale systems to support increasing benchmark demand.
Data & Insights Enablement
- Process and structure benchmark data using Python Spark or Databricks.
- Support dashboards and reporting (e.g. Power BI) that provide quick performance insights to engineering stakeholders.
Collaboration & Documentation
- Work day to day with CPU performance engineers to understand workflows and continuously improve automation.
- Document architectures workflows execution guides and troubleshooting procedures.
- Partner with internal IT teams as needed for networking hardware and security alignment.

Required Qualifications:

Bachelors degree in Computer Science Engineering or equivalent practical experience.
Strong Python and Linux shell scripting skills.
Hands on experience with Jenkins CI/CD pipelines and GitHub.
Solid understanding of Linux systems OS tuning and server environments.
Experience automating infrastructure using Ansible or similar tools.
Ability to debug complex system automation or execution issues independently.
Strong communication skills-able to work closely with non software performance engineers.

Top Must Have Skills:

Python Shell Scripts PySpark Databricks PowerBI CI/CD

Preferred / Nice to Have:

Experience with CPU or system performance benchmarking (SPEC internal benchmarks stress tools etc.).
Familiarity with Spark Kafka Databricks or large scale log processing.
Experience with Docker and Kubernetes.
Knowledge of monitoring and observability tools (Prometheus Grafana Zabbix New Relic).
Exposure to data visualization and reporting tools (Power BI).

What Success Looks Like:

Performance engineers run benchmarks through automation instead of manual steps.
Benchmark failures are quickly diagnosed and resolved with minimal downtime.
Benchmark results are consistent repeatable and easy to consume.
The automation platform scales seamlessly as new CPU platforms and benchmarks are added.

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Santa Clara California that develops computer processors a...