Software Engineer, Rapid Innovation, Google Public Sector

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the job posting. Key info: - Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information. In most instances, this position requires in-person interviews as part of the hiring process. - Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience architecting AI systems on cloud platforms (e.g., GCP). Experience building pipelines for structured and unstructured data using both vector databases and (retrieval-augmented generation) RAG-like architectures to power enterprise AI solutions. Experience leading technical discovery sessions with customers. Must possess an active Top Secret/SCI security clearance with current polygraph. - 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 patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. - About The Job: description about Google software engineers, etc. - Responsibilities: list of bullet points. - Pay: "Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits" - Benefits: mention "Learn more about benefits at Google ." Not specific benefits listed. The posting includes "Learn more about benefits at Google." That's not specific benefits; we should not create Benefits section unless actual benefits listed. So we should not include Benefits. - Schedule: not mentioned. - Skills: maybe we can include a Skills section derived from qualifications? The instruction says use headings for sections like Skills if there is content. We have qualifications (minimum and preferred). Could combine into Requirements and Qualifications? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have Requirements (minimum qualifications) and Qualifications (preferred). Or we could combine but better separate. - About the role: we have "About The Job" paragraph. - Responsibilities: list. - Pay: we have salary range. - Possibly also include "Citizenship & Clearance" as part of Requirements? Could be under Requirements. We must not repeat job title as heading. No Job ID. We must remove boilerplate: EEO, equal opportunity, accommodation, etc. Also remove "Learn more about benefits at Google." (that's boilerplate). Also remove "Google is proud to be an equal opportunity workplace..." etc. We must preserve all substantive information. Thus output HTML with sections:

About the role

... (the About The Job paragraph)

Responsibilities

• ... each bullet

Requirements

• ... minimum qualifications items

Preferred Qualifications

• ... preferred qualifications items

Pay

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

We might also include a

Citizenship and Clearance

but could fold into Requirements. Since we have a requirement about US Citizen and clearance, we can include that as a bullet in Requirements. We must not include sections with filler like "commensurate with experience". Not needed. We must not include Benefits section because no specific benefits listed. Schedule not present. Skills: we could create a Skills section summarizing technical skills, but we already have qualifications. Might be redundant. The instruction: Prefer a few substantive sections over many thin ones. So we can combine Requirements and Preferred Qualifications into one "Requirements" section with sub-bullets? But they said use headings for sections like Requirements, Qualifications, Skills. Could have Requirements (minimum) and Qualifications (preferred). That's two sections, fine. We need to ensure we preserve all substantive information: include US Citizen requirement, in-person interviews, etc. Let's extract bullets: Minimum qualifications bullet list: - Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 5 years of experience with software development using Python or similar coding languages. - Experience architecting AI systems on cloud platforms (e.g., GCP). - Experience building pipelines for structured and unstructured data using both vector databases and (retrieval-augmented generation) RAG-like architectures to power enterprise AI solutions. - Experience leading technical discovery sessions with customers. - Must possess an active Top Secret/SCI security clearance with current polygraph. - Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information. - In most instances, this position requires in-person interviews as part of the hiring process. Preferred qualifications bullet list: - 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 patterns (e.g., ReAct, self-reflection, hierarchical delegation). - Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Responsibilities bullet list (from text): - Act as a trusted advisor to customers by understanding their business process and objectives. - Design and build genAI-driven solutions spanning AI, data, and infrastructure. - Demonstrate how Google Cloud is differentiated by working with customers on application prototypes; demonstrating generative AI features; prompting and tuning models; and optimizing model performance, profiling, and benchmarking. - Troubleshoot and find solutions to issues in generative AI applications. - Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams. - Work with peers to include the full cloud stack into overall architecture. - Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. - Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. - Travel as needed. About the role paragraph: The long paragraph starting with "About The Job Google's software engineers develop..." We'll need to capture that as prose. Let's copy that paragraph exactly (but we can trim extra spaces). The paragraph: "About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer, you will support the Rapid Innovation team in Google Public Sector. You will construct rapid prototype generative AI applications tailored to public sector customers. You will leverage generative AI technologies to develop solutions and validate their efficacy. You will swiftly showcase the latest generative AI capabilities through direct collaboration with customers. In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions." We need to ensure we don't include boilerplate like "Learn more about benefits at Google." Already omitted. Pay paragraph: "Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits" We should keep that as is. Now produce HTML. We must not include markdown fences. Just raw HTML. Let's craft:

About the role

About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer, you will support the Rapid Innovation team in Google Public Sector. You will construct rapid prototype generative AI applications tailored to public sector customers. You will leverage generative AI technologies to develop solutions and validate their efficacy. You will swiftly showcase the latest generative AI capabilities through direct collaboration with customers. In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Responsibilities

• Act as a trusted advisor to customers by understanding their business process and objectives.
• Design and build genAI-driven solutions spanning AI, data, and infrastructure.
• Demonstrate how Google Cloud is differentiated by working with customers on application prototypes; demonstrating generative AI features; prompting and tuning models; and optimizing model performance, profiling, and benchmarking.
• Troubleshoot and find solutions to issues in generative AI applications.
• Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams.
• Work with peers to include the full cloud stack into overall architecture.
• Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement.
• Travel as needed.

Requirements

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience building pipelines for structured and unstructured data using both vector databases and (retrieval-augmented generation