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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer III, Google Security Operations, AI/ML - **Company:** Google LLC - **Location:** Reston, VA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Quality, Code Review, Cyber Security, Data Cleansing, Software Debugging, Machine Learning, Tensorflow, Software Engineering, Google Cloud, Pytorch, Large Language Models - **Published:** August 5, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-iii-google-security-operations-ai-ml-reston-va-usa-58800377 ## About the Role Experteer Overview As a Software Engineer at Google, you collaborate across teams to design, develop, and review code for scalable security products and systems. You will triage issues impacting security operations and performance, and implement GenAI-powered solutions to improve efficiency. You contribute to end-to-end applications and apply ML techniques to real-world problems. This role offers opportunities to work on high-impact projects within Google Cloud SecOps and security tooling integration. Compensation / Benefits * Collaborate with peers through design and code reviews to ensure code quality and best practices * Triage issues and debug to assess impact on hardware, networks, and service operations * Implement GenAI solutions and contribute to data preparation, optimization, and performance improvements * Design, develop, and deliver high-quality code for security products and systems * Work on end-to-end applications and secure software delivery Tasks * Bachelor's degree or equivalent practical experience * 2 years of software development experience, or 1 year with an advanced degree * Experience with state-of-the-art GenAI techniques (LLMs, multimodal) or related concepts * Experience in full-stack software development (design, develop, deploy) * Experience with ML frameworks (TensorFlow, PyTorch, or JAX) and applying ML to problems Key requirements * ## Description Experteer Overview As a Software Engineer at Google, you collaborate across teams to design, develop, and review code for scalable security products and systems. You will triage issues impacting security operations and performance, and implement GenAI-powered solutions to improve efficiency. You contribute to end-to-end applications and apply ML techniques to real-world problems. This role offers opportunities to work on high-impact projects within Google Cloud SecOps and security tooling integration. Compensation / Benefits * Collaborate with peers through design and code reviews to ensure code quality and best practices * Triage issues and debug to assess impact on hardware, networks, and service operations * Implement GenAI solutions and contribute to data preparation, optimization, and performance improvements * Design, develop, and deliver high-quality code for security products and systems * Work on end-to-end applications and secure software delivery Tasks * Bachelor's degree or equivalent practical experience * 2 years of software development experience, or 1 year with an advanced degree * Experience with state-of-the-art GenAI techniques (LLMs, multimodal) or related concepts * Experience in full-stack software development (design, develop, deploy) * Experience with ML frameworks (TensorFlow, PyTorch, or JAX) and applying ML to problems Key requirements * ## Related Videos - [Automated Security for the Entire SDLC](https://www.wearedevelopers.com/videos/100323-automated-security-for-the-entire-sdlc) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Are Software Engineer Wages Being Pushed Down? A Report on Tech Salaries](https://www.wearedevelopers.com/magazine/417-are-software-engineer-wages-being-pushed-down-a-report-on-tech-salaries) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)