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Google Frontend Engineer Jobs in Racine, WI (NOW HIRING)

Speechify

Go-to-Market - Milwaukee, WI, USA

Milwaukee, WI · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt ...

Speechify

Go-to-Market - Milwaukee, WI, USA

Milwaukee, WI · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt ...

Speechify

Go-to-Market - Milwaukee, WI, USA

Milwaukee, WI · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt ...

landmarkcu

Website Lead

Brookfield, WI · On-site

... Google tools (GA4, Looker Studio, Tag Manager, Cloud, Console). 5. Experience with, or openness to ... front-end updates. 7. Strong understanding of UX, UI, content and SEO principles and how they ...

Landmark Credit Union

Website Lead

Brookfield, WI · On-site

... Google tools (GA4, Looker Studio, Tag Manager, Cloud, Console). 5. Experience with, or openness to ... front-end updates. 7. Strong understanding of UX, UI, content and SEO principles and how they ...

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Showing results 21-34

All JobsGoogle Frontend Engineer JobsGoogle Frontend Engineer Jobs in Racine, WI

Google Frontend Engineer information

See Racine, WI salary details

$57.2K

$130.3K

$185.7K

How much do google frontend engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for google frontend engineer in Racine, WI is $130,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $151,400.00 per year, depending on experience, location, and employer.

What does a Google frontend engineer do?

A Google Frontend Engineer is responsible for designing, developing, and maintaining the user interfaces of Google's web applications. They work closely with designers and backend engineers to create seamless and efficient user experiences using technologies like HTML, CSS, JavaScript, and modern frameworks such as Angular or React. Their role includes optimizing web performance, ensuring accessibility, and implementing responsive designs that function well across devices. Frontend Engineers at Google often participate in code reviews, collaborate on new features, and help set technical standards for frontend development.

What are the key skills and qualifications needed to thrive as a Google frontend engineer, and why are they important?

To thrive as a Google Frontend Engineer, you need expertise in JavaScript, HTML, CSS, and modern frontend frameworks, often supported by a degree in computer science or related experience. Familiarity with tools like React, Angular, version control (Git), and experience with large-scale codebases is typically required. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills are crucial for building high-quality, scalable user interfaces and working effectively within cross-functional teams at Google.

What are some of the unique challenges faced by frontend engineers at Google, and how can candidates prepare for them?

Frontend Engineers at Google often work on highly scalable products that serve millions of users, which means ensuring performance, accessibility, and cross-browser compatibility at a large scale. Candidates can expect to collaborate closely with UX designers, product managers, and backend engineers to deliver seamless user experiences. Common challenges include optimizing for speed, maintaining code quality in large codebases, and adapting to evolving frameworks and tools. Preparing by building projects with real-world complexity, staying updated on modern frontend technologies, and practicing effective communication in cross-functional teams can be particularly beneficial.

What is the difference between Google Frontend Engineer vs Google Software Engineer?

AspectGoogle Frontend EngineerGoogle Software Engineer
Primary FocusDesigning and implementing user interfaces and frontend featuresDeveloping full-stack or backend systems, including frontend components
Skills & CredentialsProficiency in HTML, CSS, JavaScript, frontend frameworksProficiency in multiple programming languages, algorithms, data structures
Work EnvironmentCollaborates closely with designers and product teams on UI/UXWorks on broader system architecture, backend services, and infrastructure

Google Frontend Engineers specialize in creating engaging user interfaces and frontend features, requiring expertise in frontend technologies. Google Software Engineers have a broader scope, working on both frontend and backend systems, often involving more complex programming and system design. Both roles are vital in Google’s product development, but they focus on different aspects of software engineering.

What job categories do people searching Google Frontend Engineer jobs in Racine, WI look for?

The top searched job categories for Google Frontend Engineer jobs in Racine, WI are:

Google Frontend Engineer jobs near you
Infographic showing various Google Frontend Engineer job openings in Racine, WI as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $130,274 per year, or $62.6 per hour.

Cyber Forward Deployed Engineer - Manager

Deloitte

Milwaukee, WI • On-site

Full-time

Re-posted 12 days ago

Key responsibilities

  • Lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering.

  • Translate business and cybersecurity needs into high-quality technical solutions, including AI/GenAI capabilities, and deploy them for clients.

  • Own overall customer satisfaction by proactively managing expectations, delivery quality, and outcomes.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.

Customer Delivery Leadership

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements

Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

We require 8+ years of experience for all areas below:

  • Hands-on experience in full stack development across frontend and backend technologies.
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience conducting code reviews and guiding teams on best practices.
  • Experience delivering and scaling applications on AWS, Azure, or GCP.
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

We require 1+ years of experience for all areas below:

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems.
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

  • 8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
  • 8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
  • 8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
  • 8+ Years experience articulating technical concepts, risks, and trade-offs.
  • 8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications

  • Anthropic experience and/or certification STRONGLY preferred
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 - $306,800.

#CyberCtBEngg

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you will do:

As a Cyber Forward Deployed Engineer (FDE) Manager, you will lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering. You will lead teams on delivering high-quality solutions while playing a key role in deal shaping, scaling delivery practices, and enabling long-term client and team capability.

Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  • Partner with leadership to influence technical win strategy, including pricing inputs, and effort estimation, ensuring alignment between client needs, feasibility, and commercial viability.

Customer Delivery Leadership

  • Own overall customer satisfaction, proactively managing expectations, delivery quality, and outcomes to ensure a strong client experience.
  • Build and maintain trusted client relationships, addressing escalations effectively and driving continuous improvement based on client feedback.
  • Ensure delivery aligns with agreed scope, timelines, and cost estimates, proactively managing deviations to protect margins and client outcomes.
  • Drive delivery efficiency and unit economics by optimizing team structure, utilization, and effort allocation across engagements

Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

We require 8+ years of experience for all areas below:

  • Hands-on experience in full stack development across frontend and backend technologies.
  • Experience in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience conducting code reviews and guiding teams on best practices.
  • Experience delivering and scaling applications on AWS, Azure, or GCP.
  • Experience with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

We require 1+ years of experience for all areas below:

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents 
  • Experience guiding teams on AI architecture, platform selection and integration into production systems.
  • Experience with scalability, governance, and performance considerations for AI-enabled solutions.

Client-Facing & Delivery Ownership

  • 8+ Years experience leading technical solutioning in pursuits, including demos, POCs, and proposal inputs.
  • 8+ Years experience defining scope, estimating effort, and aligning solutions with delivery feasibility and business goals.
  • 8+ Years experience working with senior client stakeholders to translate requirements into scalable technical solutions.
  • 8+ Years experience articulating technical concepts, risks, and trade-offs.
  • 8+ Years experience demonstrating accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications

  • Anthropic experience and/or certification STRONGLY preferred
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 - $306,800.

#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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