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Google Software Developer Jobs in Fresno, CA (NOW HIRING)

... DevOps, site reliability engineering, quality engineering, or software development life cycle ... Google Cloud Platform (GCP) * 1+ years of experience architecting, building, deploying, or ...

Agentic Software Engineer III

Fresno, CA

$57 - $76.75/hr

... DevOps, site reliability engineering, or software development lifecycle delivery roles using ... Google Cloud Platform (GCP) * Experience using at least one continuous integration/continuous ...

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Google Software Developer information

See Fresno, CA salary details

$47.7K

$111.1K

$164.8K

How much do google software developer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for google software developer in Fresno, CA is $111,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $129,100.00 per year, depending on experience, location, and employer.

What is a Google software developer?

Google Software Developers are engineers who design, build, test, and maintain software products and systems used by millions of people around the world. They work on a wide range of projects, from developing new features for Google Search and Gmail to building infrastructure for cloud computing and artificial intelligence. These developers collaborate with cross-functional teams to solve complex problems, improve user experiences, and ensure the scalability and reliability of Google’s products. To succeed in this role, strong programming skills, problem-solving abilities, and a passion for innovation are essential.

How does a Google software developer typically collaborate with cross-functional teams during a project?

Google Software Developers frequently work alongside product managers, UX designers, and quality assurance engineers to deliver robust products. Collaboration is often structured through agile methodologies, with regular stand-up meetings, code reviews, and design discussions. Communication tools like Google Meet and internal documentation systems are heavily utilized to keep everyone aligned. This cross-functional environment not only encourages knowledge sharing but also provides developers with broader exposure to different aspects of product development, fostering both technical and interpersonal growth.

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

To thrive as a Google Software Developer, you need strong computer science fundamentals, excellent coding skills (especially in languages like Python, Java, or C++), and typically a bachelor's or higher degree in computer science or a related field. Experience with distributed systems, cloud technologies, version control (such as Git), and familiarity with Google's internal tools or similar industry-standard platforms are highly valued. Problem-solving ability, collaboration, and effective communication are critical soft skills to excel in team-oriented, fast-paced projects. These skills and qualities are essential for creating scalable, high-impact products that meet Google's rigorous technical and innovation standards.

What is the difference between Google Software Developer vs Amazon Software Engineer?

AspectGoogle Software DeveloperAmazon Software Engineer
Required CredentialsBachelor's or higher in CS or related field; coding skills; sometimes certificationsBachelor's or higher in CS or related field; coding skills; sometimes certifications
Work EnvironmentCollaborative, innovative, research-drivenFast-paced, customer-focused, scalable systems
Employer & Industry UsageTech giant, search, advertising, cloudE-commerce, cloud, logistics, retail
Common Search & Comparison IntentYesYes

Google Software Developers and Amazon Software Engineers share similar educational backgrounds and technical skills. However, their work environments differ: Google emphasizes innovation and research, while Amazon focuses on scalable, customer-centric solutions. Both roles are highly sought after in the tech industry, often compared by job seekers to understand company culture, project scope, and career growth opportunities.

How do I join Google as a software developer?

To join Google as a software developer, candidates typically need a strong background in computer science, programming skills in languages like Java, C++, or Python, and experience with data structures and algorithms. The application process involves submitting an online resume, completing technical interviews that assess coding and problem-solving abilities, and demonstrating collaboration skills. Google also values relevant internships, open-source contributions, and a good cultural fit.

What cities near Fresno, CA are hiring for Google Software Developer jobs?

Cities near Fresno, CA with the most Google Software Developer job openings:

Infographic showing various Google Software Developer job openings in Fresno, CA as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,052 per year, or $53.4 per hour.

Lead Agentic Software Engineer II

Deloitte

Fresno, CA • On-site

Full-time

Posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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