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Location
In office (United States)
Seniority
Staff · 5+ years exp
Visa
Sponsors visas in Ireland; no register of this country names it

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.

Overview
Company
Impact
Profile match
HCLTech is an Indian information technology services and consulting company headquartered in Noida, Uttar Pradesh. Its roots lie in HCL, founded in 1976 by Shiv Nadar and partners, and the IT services business was set up as a separate company in 1991. It provides application development and maintenance, infrastructure and cloud services, cybersecurity, engineering and R&D services, and sells its own software products through HCLSoftware. The company employs more than 200,000 people in some 60 countries and is listed on the Indian stock exchanges.

Job Summary

The Data Center Network Engineering Product Introduction team is responsible for testing and

validating new data center network products prior to deployment. The team functions as a data

center solution test team, ensuring that every new data center product is rigorously tested

end-to-end before production rollout. The team leverages their custom test framework for

automation.

Key Responsibilities

We are seeking two skilled Automation Engineers with a strong networking background to join

our customers' Data Center Network Engineering Product Introduction team. These roles are

critical to bridging the gap between test design and test automation. You will work closely with

full-time engineering leads who design test plans for new data center products, and your

primary responsibility will be to automate those tests and execute validation in a data center

networking environment

Skill Requirements

Key Responsibilities

  • Test Automation: Develop, implement, and maintain automated test scripts and

frameworks for data center network product validation

  • Network Testing: Execute network tests including traffic generation between servers,

packet drop analysis, and switch validation in data center environments

  • Manual Testing: Perform manual testing as needed for platforms where automation is

being developed or where coverage gaps exist

  • Framework Development: Contribute to and leverage the automation framework for

test automation

  • Collaboration: Work closely with full-time engineering leads to translate test designs

and manual test plans into robust automated test suites

  • Lab Environment: Support test execution in lab environments for new data center

product introductions (NPI)

  • Continuous Improvement: Identify opportunities to improve test coverage, automation

efficiency, and reporting

Other Requirements

Required Qualifications

  • 5 to 10 years of professional experience in test automation or software engineering
  • Strong proficiency in Python or similar scripting/programming languages used for test

automation

  • Solid understanding of networking fundamentals including:
  • Data center network architectures
  • Switches and routing protocols
  • Network traffic analysis and packet-level troubleshooting
  • TCP/IP, BGP, OSPF, or similar networking protocols
  • Experience with test automation frameworks and CI/CD pipelines
  • Ability to write, maintain, and debug automated test scripts
  • Familiarity with Linux/Unix environments

Preferred Qualifications

  • Experience with data center network testing or network product validation
  • Experience with network traffic generation tools (e.g., Ixia, Spirent, or similar)
  • Knowledge of data center switch platforms and configurations
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Networking,

or a related field

  • Experience working in large-scale data center environments
  • Prior experience as a contractor or in a fast-paced product introduction environment

What Success Looks Like

  • Rapidly ramping up on the team's networking stack and automation framework
  • Delivering automated test coverage for new data center product introductions
  • Reducing the team's automation backlog and enabling faster NPI cycles
  • Proactively leveraging AI tools to accelerate development and testing workflows
  • Building deeper understanding of the networking stack over time to contribute to test

design

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