Senior Staff Software Engineer, Reliability and Application Security, Cloud Security
Indexed description
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
- Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.
- 8 years of experience in security engineering with a focus on application security, or software development architecting, operating, or scaling large-scale distributed systems, enterprise platforms, or cloud infrastructure.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership or tech lead role setting strategy for security programs, reliability initiatives, or large-scale systems, and driving cross-team execution.
- Experience with application security vulnerabilities, secure coding practices, and mitigation techniques.
- Master's degree or PhD in Computer Science, Computer Engineering, or a related technical field.
- Experience with vulnerability management programs, security tooling, and automation.
- Experience leading security or reliability efforts for a portfolio of SaaS or enterprise security products.
- Deep domain expertise in Site Reliability Engineering (SRE) principles, production systems governance, multi-region disaster recovery, and incident response frameworks.
- Strong expertise in defining SLOs/SLIs, building observability frameworks, and scaling operations in fast-growing, mission-critical cloud environments.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
To lead and evolve both the application security posture and horizontal reliability of the entire Google Unified Security Operations (SecOps) and Threat Operations product portfolio. In this role, you will own the technical goal, strategy, and execution of the Application Security Program and horizontal reliability initiatives, empowering Google Unified SecOps and Threat Operations teams to build, scale, and maintain secure-by-design, resilient products, and fostering unwavering customer trust in Google's security intelligence and operations platforms.
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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Responsibilities
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- Drive the technical goal, strategy, and multi-year roadmap across the Google Unified SecOps and Threat Operations portfolio.
- Elevate standards for incident management, risk analysis, architecture reviews, blameless postmortems, and sustainable, healthy on-call rotations.
- Serve as the ultimate technical decision-maker and escalation point for all reliability, production health, and application security matters within Google Unified SecOps and Threat Operations.
- Act as the primary development liaison to the Google Unified SecOps and Threat Operations SRE organization; drive consensus across disparate software engineering and platform teams, acting as a neutral arbiter on complex architectural and operational decisions across Google Cloud Security.
- Serve as a trusted technical authority on complex, distributed systems architectures; identify critical failure modes in real-time streaming, batch processing, and AI/ML-driven threat operations, guiding engineering teams toward resilient, self-healing designs.
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