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Immediate Vertex Jobs in Virginia (NOW HIRING)

Automation Test Engineer (Remote)

Arlington, VA · Remote

$53 - $70/hr

* Tier One Technologies has an immediate need for a Test Automation Engineer to support our US ... Vertex AI to accelerate test creation, analysis, and triage while maintaining code quality and ...

Automation Test Engineer (Remote)

Arlington, VA · Remote

$53 - $70/hr

Tier One Technologies has an immediate need for a Test Automation Engineer to support our US ... Vertex AI to accelerate test creation, analysis, and triage while maintaining code quality and ...

Automation Test Engineer (Remote)

Arlington, VA · On-site +1

$53 - $70/hr

Tier One Technologies has an immediate need for a Test Automation Engineer to support our US ... Vertex AI to accelerate test creation, analysis, and triage while maintaining code quality and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Data Engineer to join our ... Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Data Engineer to join our ... Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with ...

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our ... Google Vertex AI. * Proficiency in TypeScript and familiarity with key libraries and frameworks ...

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our ... Google Vertex AI. * Proficiency in TypeScript and familiarity with key libraries and frameworks ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Data Engineer to join our ... Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with ...

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our ... Google Vertex AI. * Proficiency in TypeScript and familiarity with key libraries and frameworks ...

Senior AI Software Engineer

Mclean, VA · On-site

$155 - $200/hr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our ... Google Vertex AI. * Proficiency in TypeScript and familiarity with key libraries and frameworks ...

Immediate Vertex information

What is the difference between Immediate Vertex vs Data Analyst?

AspectImmediate VertexData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentIT departments, software development teams, or technical supportBusiness, finance, marketing, or healthcare sectors analyzing data
Employer & Industry UsageTech companies, software firms, or organizations with technical infrastructureCorporations, consulting firms, or research institutions
Common Search & ComparisonImmediate Vertex vs Data Analyst

Immediate Vertex roles focus on technical infrastructure and system management, often requiring IT or computer science backgrounds. Data Analysts primarily interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles involve working with data, Immediate Vertex is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

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Infographic showing various Immediate Vertex job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Technical Program Manager, Power Infrastructure Delivery

Reston, VA • On-site

Socket.dev
Network Security • 1 - 10 employees

$192 - $278/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in Electrical or Electronics Engineering, another relevant field, or equivalent practical experience.
  • Licensed/Chartered Professional Engineer or equivalent.
  • 8 years of experience in program or technical project management in the energy industry.
  • Experience managing relationships and leading transmission and distribution, or substation, or mission critical utility infrastructure projects.
  • Experience with hybrid infrastructure environments, HV-MV-LV, and energymanagement and smarter grid Solutions.
PREFERRED QUALIFICATIONS:
  • Professional Engineer (PE) license with a focus on Electrical Power or Mechanical Systems.
  • Demonstrated ability to communicate complex technical concepts and strategy to VP-level executives.
  • Technical publications or patents related to power systems, generation or energy storage.
ABOUT THE JOB:

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Googlehttps://www.google.com/about/careers/applications/benefits/.

RESPONSIBILITIES:
  • Support the strategic development of phased power solutions to meet data center demand, ranging from immediate to long-term requirements. This includes integrating systems that utilize High Voltage (HV) or Medium Voltage(MV) utility infrastructure alongside Battery Energy Storage Systems (BESS) and power generation technologies.
  • Be responsible for driving design and engineering management of campus level infrastructure solutions, collaborating with cross-functional partners and resolving challenges effectively.
  • Bridge the gap between commercial acquisition and technical operations by ensuring that all project-related activities, methodologies, and deliverables strictly conform to NERC, FERC codes, and applicable regulatory frameworks.
  • Define a global reference architecture for on-site power generation that optimizes costs, reliability, and carbon reduction.
  • Evaluate and integrate emerging power technologies by building rigorous technical cases to support major capital investments.
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