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Google Coding Jobs in Michigan (NOW HIRING)

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and ...

Cyber - Google Cloud Security - Manager

Detroit, MI · On-site

$109K - $148K/yr

Establishing infrastructure-as-code standards using Terraform and defining secure continuous ... Google Cloud Security or Google Cloud Professional certifications The wage range for this role ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... code, testing for quality, and deploying software to meet customer requirements. Full-stack ...

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Google Coding information

See Michigan salary details

$11

$28

$47

How much do google coding jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for google coding in Michigan is $28.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $34.76 per hour, depending on experience, location, and employer.

What is a Google coding?

A Google Coding job typically refers to a software engineering or developer role at Google, where employees design, develop, test, and maintain software products and systems. These roles require strong programming skills in languages like Python, Java, or C++, along with problem-solving and algorithm expertise. Engineers at Google work on a wide range of projects, including search algorithms, AI, cloud computing, and mobile applications.

What does a typical workday look like for someone in a Google coding role?

A typical day for someone in a Google Coding role involves writing, testing, and reviewing code, participating in team meetings such as daily standups or sprint planning, and collaborating closely with other engineers and cross-functional partners. You may also spend time conducting code reviews, troubleshooting technical challenges, and refining project requirements with product managers or designers. The work environment is dynamic, supportive, and oriented toward both individual contributions and teamwork. This structure ensures that engineers at Google have opportunities to learn from peers, contribute to impactful projects, and continually grow their technical and professional skills.

What are the key skills and qualifications needed to thrive in the Google coding position, and why are they important?

To thrive in a Google Coding role, candidates typically need a strong background in computer science, proficiency in programming languages such as Python, Java, or C++, and a degree in a relevant field. Comfort with version control systems like Git, familiarity with large-scale codebases, and experience using cloud technologies (such as Google Cloud Platform) are also advantageous. Outstanding problem-solving abilities, collaboration, and effective communication skills are important soft skills for excelling on engineering teams. These competencies enable innovation, efficient teamwork, and the development of high-quality, scalable software solutions at Google.

What are the most commonly searched types of Google Coding jobs in Michigan?

The most popular types of Google Coding jobs in Michigan are:

Infographic showing various Google Coding job openings in Michigan as of August 2026, with employment types broken down into 54% Full Time, and 46% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $59,864 per year, or $28.8 per hour.

Forward Deployed Engineer IV, GenAI, Google Cloud

Detroit, MI • On-site


Google Inc.
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies

Free food

Great coworkers

People enjoy working here


$207 - $300/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

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corporate_fare Google place New York, NY, USA ; Austin, TX, USA ; +24 more ; +23 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

The application window will be open until at least August 14, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Austin, TX, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Houston, TX, USA; San Francisco, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Irvine, CA, USA; Kirkland, WA, USA; Miami, FL, USA; Madison, WI, USA; Portland, OR, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.

  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience taking production-grade AI-driven solutions from conception to launch for customers.
  • Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
  • Experience leading technical discovery sessions with customers.
Preferred qualifications:
  • Master's degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
  • Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
  • Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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