Validation Engineer

Top Skills' Details:

• Log analysis and troubleshooting

• Infrastructure validation and testing

• Data interpretation and root cause analysis

• Technical documentation review

Description

Duration is initially 6 months and success will likely to extend and expand the team.

The Deployment Readiness Engineering (DRE) team is seeking a Systems Validation Engineer to support DGX Cloud deployment readiness initiatives. This role focuses on reviewing, analyzing, and validating large-scale infrastructure and cluster validation logs to ensure customer environments meet DGX Cloud deployment requirements.

The successful candidate will serve as a critical quality gate between infrastructure deployment and production handoff, providing validation signoff for DGX Cloud offtake environments operated by our client's partners.. This position requires strong analytical skills, attention to detail, and the ability to leverage AI-assisted tools and automation frameworks to efficiently process high volumes of system validation data.

Key Responsibilities

Validation and Log Analysis

• Review and analyze large volumes of system, infrastructure, and cluster validation logs.

• Determine pass/fail status of validation test results against established DGX Cloud requirements.

• Identify anomalies, configuration issues, and validation failures within customer cluster environments.

• Document findings and provide clear recommendations for remediation when validation criteria are not met.

• Generate validation signoff reports for qualified deployments.

Deployment Readiness Support

• Validate deployment readiness of DGX Cloud offtake customer environments.

• Ensure cluster configurations meet predefined technical standards and deployment requirements.

• Support final handoff and acceptance processes for DGX Cloud deployments.

• Collaborate with deployment and engineering teams to address validation concerns.

AI-Assisted Validation Operations

• Utilize AI-powered tools, automation frameworks, and validation harnesses to improve review efficiency.

• Apply structured analysis methodologies to accelerate identification of validation issues.

• Provide feedback on automation opportunities and process improvements.

• Participate in the ongoing refinement of validation workflows and tooling.

Issue Escalation and Resolution

• Escalate complex technical findings to designated engineering leadership.

• Work closely with Deployment Readiness Engineering subject matter experts to troubleshoot validation failures.

• Track and communicate issues discovered during log reviews.

• Support root cause analysis activities when recurring issues are identified.

Process Improvement

• Contribute to the development and enhancement of validation review procedures.

• Help establish best practices for large-scale log analysis.

• Support continuous improvement efforts focused on reducing deployment delays and operational inefficiencies.

Skills

Validation, Computer system validation, Validation testing, system analysis, Log Analysis, Infrastructure Logs, Infrastructure Validation

Top Skills Details

Validation,Computer system validation,Validation testing,system analysis,Log Analysis,Infrastructure Logs,Infrastructure Validation

Additional Skills & Qualifications

**Remote work and EST candidates highly preferred since they will work with EMEA and APAC on a consistent basis.

• 3+ years of experience in systems administration, infrastructure validation, systems engineering, technical operations, or related roles.

• Experience reviewing and analyzing system, application, or infrastructure logs.

• Strong troubleshooting and analytical problem-solving skills.

• Ability to interpret technical documentation and validation procedures.

• Experience working in Linux-based environments.

• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with AI, machine learning, GPU infrastructure, or high-performance computing (HPC) environments.

• Familiarity with DGX systems, large-scale cluster deployments, or cloud infrastructure.

• Experience supporting data center, cloud, or enterprise infrastructure deployments.

• Knowledge of automation and scripting tools.

• Experience working with NVIDIA technologies or cloud partner ecosystems.

• Familiarity with validation testing methodologies and operational readiness reviews.

Experience Level

Intermediate Level

Job Type & Location

This is a Contract position based out of Santa Clara, CA.

Pay and Benefits

The pay range for this position is $60.00 - $70.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Sep 27, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.