mid Security Engineer ic 1+ yrs Bachelor's · Posted Jun 8, 2026
$147,000 – $211,000
USD per year

About this role

Google is hiring a mid-level Security Engineer based in Sunnyvale, CA | Kirkland, WA | New York City, NY | Seattle, WA. The posting calls out experience with GCP, Reinforcement Learning, Data Structures, Security and roughly 1+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $147,000–$211,000 per year.

Role
Security Engineer
Function
security
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale, CA | Kirkland, WA | New York City, NY | Seattle, WA
Experience
1+ years
Education
Bachelor's degree
Posted
Jun 8, 2026
AI Summary
Mid-level Security Engineer at Google Cloud building automated security systems to protect cloud infrastructure. Develops secure software practices, analyzes vulnerabilities across billions of code lines, and integrates security into developer workflows using AI advances. Requires 1+ year security engineering experience and proficiency in programming languages or ML specialization.

Job description

from Google careers

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.

We build the systems that keep Google Cloud secure. At Google's scale, our security approach requires constant innovation to keep all our customers safe. Our team utilizes the latest AI advances to ensure cloud products meet the highest security standards, discover novel vulnerabilities across billions of lines of code, and automate fixing issues before they reach production. In this role, you will be transforming security into a seamless, automated part of every Google Cloud developer's workflow.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Write clean, secure, and scalable backend code and design robust APIs for developer-facing security tools.
  • Design and deploy AI-based solutions and automated pipelines to accelerate security assessments and Google engineering workflows.
  • Assess security of distributed systems designs and implement robust, automated guardrails to mitigate risks.
  • Analyze system telemetry, security data, and workflows to identify gaps and implement durable, automated fixes.
  • Drive project milestones, align stakeholders, and mentor junior engineers to support their technical and career growth.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience in security engineering, or professional exposure to secure software development practices, vulnerability analysis, or infrastructure security basics

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.

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