DevOps / Software Automation Engineer - Onsite

Title:             DevOps / Software Automation Engineer - Onsite

Mandatory skills:

Python, Linux shell scripting,
Jenkins, CI/CD pipelines, GitHub,
Linux systems, OS tuning, server,
automating infrastructure, Ansible,
CPU, system performance benchmarking, SPEC, internal benchmarks, stress tools,
Spark, Kafka, Databricks, large scale log processing,
Docker, Kubernetes, Prometheus, Grafana, Zabbix, New Relic, monitoring tools, observability tools, execution workflows,
data visualization, reporting tools, Power BI, PySpark,
CPU performance benchmarking, automation pipelines, performance engineering processes,
log parsing, metrics extraction, data structuring, downstream analysis,
OS deployment, system configuration, CPU performance testing

Description:

Role Summary:

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:

Bachelor’s 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.

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.

TOP MUST HAVE SKILLS:
Python, Shell Scripts, PySpark, Databricks, PowerBI , CI/CD

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.

Contact Details :

Account co-ordinator: Godwin D Antony Raj, Phone No: , Email id:

VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
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