Security Engineer Jobs

About The Position

Requirements

• 8+ years of software engineering experience building and operating production systems, including ownership of complex problem spaces with a high degree of independence.
• Strong backend and platform engineering experience building APIs, services, integrations, workflow orchestration, and data-intensive applications.
• Meaningful frontend engineering experience building modern, intuitive user-facing applications and workflows, with the ability to work across the full stack as needed.
• Experience building data pipelines, curated datasets, analytical or historical data models, and reusable data capabilities for metrics, analysis, and decision-making.
• Experience designing and integrating multi-component systems across APIs, event-driven workflows, data stores, and enterprise or third-party platforms.
• Experience with Git-based development workflows, CI/CD, automated validation and testing, and safe production release practices.
• Experience working in public or private cloud environments; experience with Google Cloud, particularly BigQuery, or comparable analytical data platforms is required.
• Practical cybersecurity engineering or operations experience sufficient to reason about detection content, telemetry, adversary behavior, threat coverage, and defensive-system tradeoffs.
• Ability to rapidly develop expertise in unfamiliar systems, data feeds, and emerging threats and translate that knowledge into engineering, analytical, or detection outcomes.
• Ability to investigate telemetry and threat behaviors, understand underlying data semantics and limitations, and develop nuanced pivots, correlations, and approaches to improving detection coverage and signal quality.
• Ability to define technical designs and evolve architecture from concept through production operation, including security, observability, scalability, resilience, and supportability.
• Ability to resolve ambiguous requirements involving multiple teams or systems, make sound technical tradeoffs, and communicate decisions clearly to technical and non-technical stakeholders.
• Experience leading design and code reviews, mentoring engineers, and raising engineering standards across team boundaries.
• Sound judgment in applying AI-assisted engineering and analytical techniques, including understanding where automation improves outcomes and where human judgment remains necessary.

Responsibilities

• Set technical direction and lead the design of complex Threat Management systems, translating ambiguous operational needs into durable architectures and executable plans.
• Build and evolve Threat Management products and derived data capabilities, including APIs, integrations, workflow orchestration, curated datasets, historical models, services, and user-facing applications.
• Lead engineering of detection-lifecycle capabilities for rule authorship, validation, deployment, state verification, synchronization, and exception handling across detection platforms.
• Build measurement and observability foundations that enable assessment of efficacy and performance and support evidence-based improvements.
• Partner with Threat Management leadership and practitioners to frame problems, reconcile requirements, and determine appropriate engineering responses.
• Own products and platforms over their lifecycle when TME is the appropriate engineering home, including reliability, security, performance, maintainability, observability, support, lifecycle management, and production incident response.
• Develop expertise in critical data feeds and drive cross-platform and cross-team efforts to reduce noise, improve signal quality, and increase confidence in detection outcomes.
• Define testing, quality-gate, release, rollback, and change-management strategies for safe delivery across interconnected systems.
• Elevate engineering quality through design and technical reviews, problem-solving, code review, pair programming, mentoring, and coaching.
• Communicate technical direction, tradeoffs, and risks to engineering partners and Threat Management leaders, including Directors and Sr. Directors.
• Model and influence safe and effective AI use, establishing guardrails for automation and human judgment.

Benefits

• Eligible team members and dependents may receive medical, vision, dental, and life insurance.
• 401(k).
• Employee discount.
• Short-term disability and long-term disability.
• Paid sick leave.
• Paid national holidays.
• Paid vacation.
• Additional financial, education, and well-being benefits may be available to eligible team members.