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Google Engineering Jobs (NOW HIRING)

Senior Software Engineer, Cloud Node.js

Kirkland, WA · On-site

$139K - $183K/yr

... Google's engineering standards. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google ...

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Principal Engineer, Specialized Software

Seattle, WA · On-site

$153K - $206K/yr

US: $281000 - $392000 (USD) 30% bonus target equity benefits Learn more about benefits at Google . Responsibilities * Partner with our engineering and product teams to identify and test strategic ...

In this role, you will enable and empower Google's Engineering and Infrastructure leaders to steer the technology and Research and Development (R&D) roadmap towards financially optimal outcomes via ...

About the job Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting ...

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How much do google engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for google engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What kind of engineers does Google Engineering hire?

Google Engineering hires a variety of engineers including software engineers, hardware engineers, site reliability engineers, and data engineers. Candidates typically have strong programming skills, experience with relevant tools and technologies, and often hold degrees in computer science, electrical engineering, or related fields.

How do Google engineers typically collaborate across teams to deliver complex projects?

At Google, engineers frequently work in cross-functional teams that include product managers, designers, and other engineers from diverse technical backgrounds. Collaboration is facilitated through regular meetings, code reviews, and use of internal communication tools like Google Meet and shared documentation. Engineers often participate in design reviews and brainstorming sessions to ensure alignment and innovation. This collaborative environment helps tackle large-scale challenges and encourages knowledge sharing, which is crucial for delivering high-impact products.

What does a Google engineer do?

Google engineers are responsible for designing, developing, testing, and maintaining the software and systems that power Google's products and services. Their work ranges from building scalable infrastructure to creating innovative applications used by billions of people worldwide. Google engineers often collaborate in teams, solve complex technical challenges, and continuously optimize performance, security, and user experience.

What are the key skills and qualifications needed to thrive as a Google engineer?

To thrive as a Google Engineer, you need a strong background in computer science fundamentals, programming proficiency (often in languages like Python, Java, or C++), and typically a bachelor's or higher degree in a related field. Familiarity with cloud platforms (such as Google Cloud), version control systems like Git, and experience with large-scale distributed systems are commonly expected. Excellent problem-solving abilities, teamwork, and effective communication are crucial soft skills for success in Google's collaborative and innovative environment. These skills and qualities are vital to deliver impactful, scalable solutions and to contribute effectively within diverse and fast-paced teams.
More about Google Engineering jobs
What cities are hiring for Google Engineering jobs? Cities with the most Google Engineering job openings:
What states have the most Google Engineering jobs? States with the most job openings for Google Engineering jobs include:
Infographic showing various Google Engineering job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,624 per year, or $31.6 per hour.

Google Engineering Lead | AI & Data

Accenture Federal Services

Washington, DC • On-site

Full-time

Re-posted 10 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 483 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to assisting the US federal government in enhancing national strength and safety. They are looking for a Google Engineering Lead to oversee technical leadership in AI & Data practices, focusing on pre-sales strategy, architecture, and engineering execution for federal initiatives with Google.
Responsibilities:
• Collaborate with practice and account leaders to identify emerging federal market requirements and translate them into robust, GCP-native solution offerings.
• Serve as the Lead Solution Engineer for new opportunities. You will be responsible for designing end-to-end, secure, and scalable architectures that integrate the breadth of Google’s ecosystem – including but not limited to Google's Gemini models, Vertex AI Model Garden, BigQuery, and and Agent Builder.
• Lead technical discovery and solutioning for high-priority federal pursuits. Act as the primary Subject Matter Expert (SME) during client workshops to articulate the value and feasibility of Google Cloud technologies.
• Direct the end-to-end development of Proofs of Concept (PoCs) and prototypes. This includes defining the technical roadmap, selecting the appropriate GCP services, and serving as the lead engineer to ensure a successful "build" for pursuit-related milestones.
Qualifications:
Required:
• A minimum of 10 years of experience in systems engineering, cloud architecture, or technical consultancy, with a minimum of 4 years of specialized expertise in Google Cloud Platform (GCP).
• Proven ability to design holistic, multi-service architectures that solve mission-critical federal challenges.
• Proven success as a lead engineer in the end-to-end lifecycle of high-fidelity prototypes that drive market interest.
• Advanced, hands-on experience in developing and deploying cloud-native applications and data pipelines.
• Proven experience designing, developing, and deploying production-grade AI/ML solutions and architectures including LLM-based applications, computer vision, Agentic AI, and RAG.
• Comprehensive understanding of the federal IT landscape, including security requirements (FedRAMP/ATO processes), legacy application landscape, and procurement cycles.
• Experience guiding multi-disciplinary engineering teams through the rapid development of high-fidelity prototypes to support new opportunities.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Required: Google Cloud Professional Cloud Architect.
• US Citizenship Required
Preferred:
• Additional certifications in Google Cloud Data Engineering, Security, or Machine Learning.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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