Should have experience in leveraging various GenAI tools to accelerate software development life ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Should have experience in leveraging various GenAI tools to accelerate software development life ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Google Agentic AI Delivery Specialist
Philadelphia, PA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
This includes hands-on software engineering using Vertex AI, Gemini/Agentic AI, BigQuery, Google Data technologies, Terraform, and modern CI/CD practices. * Product-Led Project delivery: Act as an ...
Google Agentic AI Delivery Specialist
Philadelphia, PA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
This includes hands-on software engineering using Vertex AI, Gemini/Agentic AI, BigQuery, Google Data technologies, Terraform, and modern CI/CD practices. * Product-Led Project delivery: Act as an ...
Google AI Lead Architect
$55.75 - $76.50/hr
Should have experience in leveraging various GenAI tools to accelerate software development life ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Google AI Lead Architect
$55.75 - $76.50/hr
Should have experience in leveraging various GenAI tools to accelerate software development life ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.
Senior Google Partner Development Executive
Medical
Dental
Vision
Life
Retirement
PTO
As we continue to expand our strategic partnerships, we are seeking a Partner Development Executive (PDE) to lead and grow our relationship with Google, one of the world's premier enterprise software ...
Senior Google Partner Development Executive
Medical
Dental
Vision
Life
Retirement
PTO
As we continue to expand our strategic partnerships, we are seeking a Partner Development Executive (PDE) to lead and grow our relationship with Google, one of the world's premier enterprise software ...
Executive Assistant
Philadelphia, PA · Hybrid
Prepare expense reports, memos, letters, and other documents using Microsoft office and/or Google software. * Prioritize and manage multiple projects simultaneously and follow through on issues in a ...
Executive Assistant
Philadelphia, PA · Hybrid
Prepare expense reports, memos, letters, and other documents using Microsoft office and/or Google software. * Prioritize and manage multiple projects simultaneously and follow through on issues in a ...
Google Infrastructure and Security Lead Architect Join our AI & Engineering team in transforming ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...
Google Infrastructure and Security Lead Architect Join our AI & Engineering team in transforming ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...
Senior Associate Director of Stewardship
Lawrence Township, NJ · On-site
$85K - $90K/yr
Medical
Retirement
PTO
Must be proficient with Microsoft Office Suite (particularly Word, Excel, and PowerPoint), and Google Software. * Experience with donor and School databases (especially Veracross and RE) is preferred.
Senior Associate Director of Stewardship
Lawrence Township, NJ · On-site
$85K - $90K/yr
Medical
Retirement
PTO
Must be proficient with Microsoft Office Suite (particularly Word, Excel, and PowerPoint), and Google Software. * Experience with donor and School databases (especially Veracross and RE) is preferred.
Software Engineer
Wilmington, DE · On-site
$73 - $78/hr
Software Engineer, Full Stack (Java/React) We are not accepting C2C or 1099 arrangements. Location ... Experience developing cloud-native applications on Google Cloud Platform, AWS, or Azure.
Software Engineer
Wilmington, DE · On-site
$73 - $78/hr
Software Engineer, Full Stack (Java/React) We are not accepting C2C or 1099 arrangements. Location ... Experience developing cloud-native applications on Google Cloud Platform, AWS, or Azure.
AI/ML Software Engineer
Pennington, NJ · On-site
We are seeking an AI/ML Software Engineer for a contract position with a Global Financial ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) * Knowledge of model deployment ...
AI/ML Software Engineer
Pennington, NJ · On-site
We are seeking an AI/ML Software Engineer for a contract position with a Global Financial ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) * Knowledge of model deployment ...
Senior Hybrid Google Cloud Platform Cloud Engineer
Wayne, PA · On-site
$50.50 - $67.50/hr
Medical
Dental
Vision
Life
Retirement
Job#: 3033024 Senior Hybrid Google Cloud Platform Cloud Engineer Location: Wayne, Pennsylvania ... Experience supporting Agile/Scrum software development teams. * Proven ability to lead, mentor, and ...
Senior Hybrid Google Cloud Platform Cloud Engineer
Wayne, PA · On-site
$50.50 - $67.50/hr
Medical
Dental
Vision
Life
Retirement
Job#: 3033024 Senior Hybrid Google Cloud Platform Cloud Engineer Location: Wayne, Pennsylvania ... Experience supporting Agile/Scrum software development teams. * Proven ability to lead, mentor, and ...
Nuuly Senior Software Engineer
Philadelphia, PA · On-site
$123K - $163K/yr
Medical
Dental
Vision
Retirement
PTO
Role Summary Nuuly is hiring a Senior Software Engineer to join our Technology team. Building ... Experience with Google Cloud Platform (Google Cloud Platform) or other major cloud providers (AWS ...
Nuuly Senior Software Engineer
Philadelphia, PA · On-site
$123K - $163K/yr
Medical
Dental
Vision
Retirement
PTO
Role Summary Nuuly is hiring a Senior Software Engineer to join our Technology team. Building ... Experience with Google Cloud Platform (Google Cloud Platform) or other major cloud providers (AWS ...
Nuuly Senior Software Engineer
Philadelphia, PA · On-site
$123K - $163K/yr
... Google Cloud Platform (Google Cloud Platform), AWS, or Azure focused on driving toward zero ... software engineering experience with ~2 years of senior-level responsibilities such as taking ...
Nuuly Senior Software Engineer
Philadelphia, PA · On-site
$123K - $163K/yr
... Google Cloud Platform (Google Cloud Platform), AWS, or Azure focused on driving toward zero ... software engineering experience with ~2 years of senior-level responsibilities such as taking ...
Senior AWS Software Data Engineer
$123K - $163K/yr
Medical
Life
Retirement
Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... AWS), or Google Cloud Platform (GCP)) * 3+ years of experience with the configuration of ...
Senior AWS Software Data Engineer
$123K - $163K/yr
Medical
Life
Retirement
Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... AWS), or Google Cloud Platform (GCP)) * 3+ years of experience with the configuration of ...
Senior AWS Software Data Engineer
Philadelphia, PA · On-site
$123K - $163K/yr
Medical
Life
Retirement
Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... AWS), or Google Cloud Platform (GCP)) * 3+ years of experience with the configuration of ...
Senior AWS Software Data Engineer
Philadelphia, PA · On-site
$123K - $163K/yr
Medical
Life
Retirement
Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... AWS), or Google Cloud Platform (GCP)) * 3+ years of experience with the configuration of ...
Senior Software Engineer / Cloud Engineer Fully Remote
Collegeville, PA · Remote
$80 - $90/hr
Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services ... Apply software engineering best practices to system design, implementation, testing, security ...
Senior Software Engineer / Cloud Engineer Fully Remote
Collegeville, PA · Remote
$80 - $90/hr
Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services ... Apply software engineering best practices to system design, implementation, testing, security ...
Senior Software Engineer/Cloud Engineer - Fully Remote
Collegeville, PA · On-site
$80 - $90/hr
Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services ... Apply software engineering best practices to system design, implementation, testing, security ...
New
Quick apply
Senior Software Engineer/Cloud Engineer - Fully Remote
Collegeville, PA · On-site
$80 - $90/hr
Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services ... Apply software engineering best practices to system design, implementation, testing, security ...
New
Senior Software Engineer / Cloud Engineer Fully Remote
Collegeville, PA · Remote
$80 - $90/hr
Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services ... Apply software engineering best practices to system design, implementation, testing, security ...
Senior Software Engineer / Cloud Engineer Fully Remote
Collegeville, PA · Remote
$80 - $90/hr
Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services ... Apply software engineering best practices to system design, implementation, testing, security ...
Google GECX Contact Center as a Service Specialist
Philadelphia, PA · On-site
$70K - $196K/yr
Medical
Dental
Vision
Life
Retirement
PTO
We Are Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems ... Works with software and technology partners to design & deliver Service-focused solutions. * Plans ...
Google GECX Contact Center as a Service Specialist
Philadelphia, PA · On-site
$70K - $196K/yr
Medical
Dental
Vision
Life
Retirement
PTO
We Are Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems ... Works with software and technology partners to design & deliver Service-focused solutions. * Plans ...
Senior Software Engineer - Hybrid
Wilmington, DE · On-site
$66.41 - $74.41/hr
Medical
Dental
Vision
Life
Retirement
Automate the provisioning of Azure/Google Cloud Platform and hybrid Cloud Infrastructure using ... Software Engineering experience, or equivalent * 4+ years of experience with full-stack Java ...
Senior Software Engineer - Hybrid
Wilmington, DE · On-site
$66.41 - $74.41/hr
Medical
Dental
Vision
Life
Retirement
Automate the provisioning of Azure/Google Cloud Platform and hybrid Cloud Infrastructure using ... Software Engineering experience, or equivalent * 4+ years of experience with full-stack Java ...
Software Engineer, Data Infrastructure & Acquisition - Philadelphia, PA, USA
Philadelphia, PA · On-site
$115K - $138K/yr
Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 ... We are looking for a skilled Software Engineer to join us. What You'll Do * Be scrappy to find new ...
Software Engineer, Data Infrastructure & Acquisition - Philadelphia, PA, USA
Philadelphia, PA · On-site
$115K - $138K/yr
Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 ... We are looking for a skilled Software Engineer to join us. What You'll Do * Be scrappy to find new ...
Google Software information
See Philadelphia, PA salary details
$48.4K - $59.3K
1% of jobs
$59.3K - $70.1K
4% of jobs
$70.1K - $80.9K
9% of jobs
$91K is the 25th percentile. Wages below this are outliers.
$80.9K - $91.7K
12% of jobs
$91.7K - $102.6K
15% of jobs
The median wage is $109.6K / yr.
$102.6K - $113.4K
14% of jobs
$113.4K - $124.2K
15% of jobs
$128.5K is the 75th percentile. Wages above this are outliers.
$124.2K - $135K
13% of jobs
$135K - $145.9K
9% of jobs
$145.9K - $156.7K
5% of jobs
$156.7K - $167.5K
3% of jobs
$48.4K
$112.9K
$167.5K
How much do google software jobs pay per year?
What are the key skills and qualifications needed to thrive as a Google software engineer?
What is the difference between Google Software vs Google Software Engineer?
| Aspect | Google Software | Google Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's degree in CS or related field, coding skills | Bachelor's or higher in CS, strong coding skills, sometimes internships |
| Work Environment | Product teams, collaborative, innovative | Development teams, coding, debugging, designing |
| Employer & Industry Usage | Google's internal roles, tech industry | Google's official job title, tech industry standard |
| Search & Comparison Intent | General roles at Google, non-specific | Specific coding and development roles at Google |
Google Software typically refers to roles involving software development at Google, often used broadly for various technical positions. Google Software Engineer is a specific job title for a developer working on Google's products, requiring coding skills and technical expertise. While both involve software development, the Software Engineer role is more defined and formalized within Google's hiring structure.
Does Google still hire software engineers?
What does a Google software engineer do?
How does a Google software engineer typically collaborate with cross-functional teams during a project?
What cities near Philadelphia, PA are hiring for Google Software jobs?
Cities near Philadelphia, PA with the most Google Software job openings:

Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
44th of 150 rated financial services
Job description
Google AI Architect/AI and Engineering
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Recruiting for this role ends on 10-31-2026
Work you'll do:
- Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini; optimize for scalability, reliability, security, and cost.
- Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool/function calling, safety policies, Vector Search, evaluation); implement deployment, inference optimization, and monitoring.
- Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability.
- Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.
- Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce application and agentic design patterns.
- Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails.
Responsibilities include:
- Architect and Design: Design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
- LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.
- Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.
- Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
- Security & Governance: Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.
- Design Patterns: Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering or a related technical field.
- 6+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
- 5+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations in production.
- 4+ years designing and implementing Google Cloud networks, security controls, and landing zones using Terraform.
- 2+ years building and operating containerized workloads on GKE (autoscaling, ingress, monitoring/observability).
- 2+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.
- 3+ years executing migration or modernization programs to Google Cloud (rehost, replatform, refactor).
- 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ years' production deployment (e.g. RAG with Vertex AI Search/Vector Search, prompt design, safety policies, observability).
- Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
- Experience implementing multiple AI solutions in a professional, real-world environment.
- Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
- Familiarity with various hyperscaler tools and services.
- Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
- Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred Qualifications:
- Google Professional Machine Learning Engineer certification or the equivalent ML certification.
- Master's degree in technology-related discipline.
- 2+ years's leading high performance, results driven engineering teams delivering AI platforms or applications.
- 1+ year implementing LLMOps/MLOps using Vertex AI Pipelines and Cloud Build (or similar)
Wages + Salary
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 $122,000-$240,500.
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.
Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Google AI Architect/AI and Engineering
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Recruiting for this role ends on 10-31-2026
Work you'll do:
- Architect and deliver enterprise AI platforms and applications on Google Cloud using Vertex AI and Gemini; optimize for scalability, reliability, security, and cost.
- Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool/function calling, safety policies, Vector Search, evaluation); implement deployment, inference optimization, and monitoring.
- Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability.
- Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build.
- Lead cloud-native development on GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL/Spanner, Memorystore, and Terraform; enforce application and agentic design patterns.
- Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails.
Responsibilities include:
- Architect and Design: Design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
- LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.
- Enterprise Architecture: Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.
- Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
- Security & Governance: Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.
- Design Patterns: Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering or a related technical field.
- 6+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
- 5+ years hands-on with Google Cloud, including 2+ end-to-end enterprise implementations in production.
- 4+ years designing and implementing Google Cloud networks, security controls, and landing zones using Terraform.
- 2+ years building and operating containerized workloads on GKE (autoscaling, ingress, monitoring/observability).
- 2+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions, or Jenkins.
- 3+ years executing migration or modernization programs to Google Cloud (rehost, replatform, refactor).
- 2+ years applying AI/GenAI on Google Cloud with Vertex AI and Gemini, including 1+ years' production deployment (e.g. RAG with Vertex AI Search/Vector Search, prompt design, safety policies, observability).
- Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
- Experience implementing multiple AI solutions in a professional, real-world environment.
- Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
- Familiarity with various hyperscaler tools and services.
- Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
- Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred Qualifications:
- Google Professional Machine Learning Engineer certification or the equivalent ML certification.
- Master's degree in technology-related discipline.
- 2+ years's leading high performance, results driven engineering teams delivering AI platforms or applications.
- 1+ year implementing LLMOps/MLOps using Vertex AI Pipelines and Cloud Build (or similar)
Wages + Salary
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 ind...