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Salary
≈ $91k – $184k per year (Estimated)
Location
In office (Reston)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Aug 12, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer (Infrastructure) on the SovOps team, you are at the forefront of an engineering-driven transformation. You will build and secure sovereign cloud platforms, ensuring system reliability and effective operations within high-stakes, secure environments. Utilizing experience with large-scale distributed systems, you will drive insights and integrate new technology to improve the reliability, efficiency, and simplicity of the operational stack, eliminate systemic toil, and enforce long-term architectural excellence.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

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

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Engage in and improve the entire lifecycle of Google Public Sector air-gapped services, from inception and design through deployment, operation, and refinement.
  • Support services before they go live via system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
  • Maintain live services by measuring and monitoring availability, latency, and overall system health.
  • Scale systems sustainably through automation, and push and contribute to architectural changes that improve reliability and velocity.
  • Practice sustainable incident response and blameless postmortems.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems.
  • 1 year of experience with software development in one or more programming languages.
  • Must possess an active Top Secret/SCI security clearance with current polygraph.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience working with algorithms, data structures, complexity analysis and software design.
  • 1 year of experience using Go (Golang) as a programming language for systems or application development.
  • 1 year of experience in a technical leadership role.
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