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Job Details
Posted date: Aug 13, 2026
Location: Seattle, WA
Level: Director
Description
Act as a primary technical authority for the division, proactively partnering with and influencing executive leadership, directors, and cross-functional stakeholders to navigate competing priorities and align on project directions without direct authority. Establish development, configuration management, and testing standards across the organization, mentoring junior team members, overseeing design and code reviews, and ensuring strict compliance with security and privacy policies. Design and develop robust full-stack applications that seamlessly integrate with legacy infrastructure, while delivering well-supported data integrations for operational workflows and impactful business reporting through close cross-functional collaboration. Own the technical roadmap and strategy to scale and sustain the solutions you deliver through purpose-fit vendor teams. Deliver and oversee AI and agentic solutions with focused development, testing, and validation to empower end users and Technical teams with greater efficiency and effectiveness.As a Staff Technical Solutions Consultant for the Global Security Systems and Technology (GSST) Technical Solutions team, you will design and deliver secure, scalable, and integrated solutions for highly ambiguous challenges within security operations, while maintaining rigorous privacy and legal standards. You will serve as the technical bridge between elegant frontend user interfaces and powerful backend infrastructure, strategically embedding Google’s AI and LLM technologies to accelerate automation for efficiency and effectiveness. By collaborating cross-functionally with end users, stakeholders, leadership, and peers, you will transform complex requirements into highly intuitive and impactful tools, utilizing metrics to demonstrate real-world performance and Return on Investment (ROI). You will be looked at as a technical expert and mentor who will elevate and advocate for software development best practices across the wider peer teams.
From keeping Googlers safe and secure to managing disruptive events, the ability to anticipate, deter, detect, and act are the pillars of Google’s Global Security and Resilience Services (GSRS) team. As a member of GSRS you will help develop a culture where safety, security and resiliency are integrated into every facet of Google, including the creative process. You will help us continually identify, evaluate and monitor enterprise risks that could affect business activities and provide business leaders the information they need to make critical decisions. You'll collaborate with cross-functional teams to create innovative strategies and develop programs that drive sustainable effectiveness.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience.7 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in Python, Go, or other modern backend languages. Experience designing, building, and maintaining data pipelines using SQL, and managing production infrastructure through compute infrastructure and server platform. Experience developing and deploying enterprise solutions leveraging machine learning and artificial intelligence, with a focus on Large Language Models (LLMs).
Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
Proven experience leading end-to-end projects through informal authority. Experience writing and reviewing production-ready code in a distributed environment, with the ability to design, build, and manage complex workflows involving multiple AI agents and human experts. Experience navigating competing priorities, communicating complex ideas clearly, and building strong stakeholder partnerships through problem-solving and people management skills. Expertly leverage AI agents, LLMs, and advanced prompting to accelerate the journey from concept to functional, production-quality code. Deep fluency in modern software engineering principles and rapid prototyping techniques.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.7 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in Python, Go, or other modern backend languages. Experience designing, building, and maintaining data pipelines using SQL, and managing production infrastructure through compute infrastructure and server platform. Experience developing and deploying enterprise solutions leveraging machine learning and artificial intelligence, with a focus on Large Language Models (LLMs).