Lead Agentic Security Engineer

As a Lead Agentic Security Engineer you will provide technical leadership for security engineering across the organization. You will set technical direction own critical security capabilities drive cross-team security initiatives and mentor engineers at all levels. You are accountable for the maturity and effectiveness of security engineering balancing risk delivery and engineering realities. 

This is a technical leadership role not a people-management role though it carries significant influence and mentorship responsibility. 

Duties and accountabilities 

Technical strategy and ownership 

Define and drive the technical direction for security engineering. 

Own critical security domains and capabilities end to end (AppSec CloudSec CI/CD security vulnerability management). 

Set standards patterns and guardrails that scale across teams. 

Make and own high-impact risk-based security decisions. 

Cross-team leadership 

Lead security initiatives spanning multiple engineering teams. 

Act as the senior security point of contact for engineering leadership. 

Influence architecture and design across the organization. 

Align security efforts with business and delivery priorities. 

Engineering and automation 

Drive security automation and tooling strategy (SAST SCA DAST IaC container security) including AI-assisted and AI-augmented tooling for triage correlation and remediation guidance. 

Evaluate and apply AI and generative AI tools for example AI-assisted code review AI-powered vulnerability triage and LLM-based threat and log analysis to improve signal quality coverage and developer experience while validating their output rather than trusting it blindly. 

Ensure security platforms are reliable scalable and maintainable. 

Build the teams fluency with AI-assisted engineering tools (e.g. AI coding assistants AI-enabled security scanners) and set guardrails for their safe effective use including awareness of AI/LLM-specific risks such as prompt injection model and data supply-chain exposure and sensitive-data leakage. 

Risk incident and compliance 

Lead response and root-cause analysis for significant security incidents. 

Identify systemic risks and drive long-term remediation. 

Own security engineering input into compliance efforts (ISO 27001 SOC 2 FedRAMP). 

Coordinate external engagements (e.g. penetration testing vendors). 

Mentorship and capability building 

Mentor engineers and emerging leads (including Associate Security Leads). 

Raise the overall security capability of engineering teams including fluent responsible use of AI-assisted tools. 

Champion a strong pragmatic security culture. 

What success looks like 

Security engineering direction is clear pragmatic and adopted. 

Critical risks are proactively identified and addressed. 

Engineering teams trust and act on security guidance. 

Security maturity improves measurably across the organization including effective adoption of AI-assisted security tooling. 

Engineers grow under your mentorship. 

Qualifications :

Typically 5 years in security engineering software engineering or platform engineering. 

Proven track record owning security capabilities or programs at scale. 

Deep expertise across multiple domains (AppSec CloudSec CI/CD security architecture). 

Strong hands-on engineering and automation background. 

Demonstrated technical leadership and cross-team influence. 

Practical fluency with AI tools in an engineering context for example AI coding assistants AI-assisted security scanning and triage or LLM-based analysis and the judgment to validate their output rather than trust it blindly. 

Scope and expectations 

Technical leadership role accountable for security engineering outcomes. 

Owns strategy and direction not just delivery. 

Expected to influence without formal authority. 

Expected to challenge unsafe designs and decisions. 

Not a people-manager role (unless explicitly combined). 

Nice to have 

Experience leading security in an enterprise product environment. 

Track record influencing engineering-wide standards. 

Experience mentoring senior engineers and leads. 

Experience applying AI/LLM tools to security engineering (e.g. AI-assisted threat modeling AI-powered vulnerability correlation) and awareness of securing AI-enabled applications and pipelines. 

Relevant advanced certifications (not mandatory). 

Qualifications 

Core required qualifications 

Demonstrated experience in security engineering with hands-on involvement in automated security solutions. 

Working knowledge of DevSecOps principles and practices. 

Practical experience with CI/CD tools (e.g. Bitbucket Jenkins GitLab GitHub Actions or equivalent). 

Proficiency in security platforms vulnerability management tools and at least one scripting language (e.g. Python Bash). 

Comfort working with AI-assisted development and security tools (e.g. AI coding assistants AI-driven SAST/DAST/SCA triage) as part of the day-to-day toolkit with the judgment to review and validate AI-generated output. 

Solid understanding of common vulnerabilities (e.g. OWASP Top 10) and remediation approaches. 

Strong communication and collaboration skills with the ability to engage cross-functional teams. 

Familiarity with containerization tools (e.g. Docker Kubernetes). 

Knowledge of security standards (e.g. NIST ISO 27001 CIS). 

Preferred qualifications 

5 years of experience in security engineering software engineering or platform engineering. 

Proven track record owning security capabilities or programs at scale. 

Deep expertise across multiple security domains (AppSec CloudSec CI/CD security architecture). 

Advanced proficiency in security automation tooling strategy and infrastructure-as-code security including experience integrating AI-based tools into automated pipelines. 

Demonstrated technical leadership and ability to influence cross-team decisions without formal authority. 

Experience leading security incident response and root-cause analysis. 

Track record mentoring engineers and emerging security leads. 

Experience influencing engineering-wide security standards and practices including guidance on the responsible use of AI tools (e.g. secure use of AI coding assistants AI/LLM application security). 

Relevant advanced certifications (e.g. CISSP CCSK or equivalent). 

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time