Software Engineering Manager leading Lone Wolf’s Azure/.NET e - signature platform. Managing engineers, improving reliability, security, performance, and Angular - based product enhancements.
About the role
- Manager of Security Engineering at Acquia overseeing a specialized team focused on security across products. Securing cloud-native applications and enabling safe AI technology adoption.
Responsibilities
- Manage, mentor, and grow a dedicated team of security engineers.
- Conduct continuous performance evaluations (quarterly and annually) to guide professional development and advocate for promotions.
- Define and execute a forward-looking security engineering roadmap aligned with Product Engineering needs and broader business initiatives, including the secure enablement of AI technologies.
- Translate high-level business direction into actionable quarterly deliverables for the team.
- Establish and measure team success against the completion of quarterly goals and the continuous improvement of annual compliance audit results.
- Champion shift-left security practices, including threat modeling, secure code review, and developer security training embedded in the software development lifecycle.
- Own and scale application security tooling—SAST, DAST, and SCA platforms—to systematically surface and remediate vulnerabilities across product codebases.
- Shift the security paradigm from manual operational cleanup to building automated solutions and guardrails that eliminate entire classes of vulnerabilities.
- Lead “research spikes” to proactively investigate cloud-native environments and identify systemic security gaps before they become incidents.
- Ensure all security initiatives are rooted in clear findings and deliver exact, architectural fixes (code or configuration) to resolve them.
- Define and enforce cloud security standards spanning IAM, API security, secrets management, and container workloads across AWS environments.
- Define and enforce security standards for internal enterprise AI systems, including LLM-based agents, RAG pipelines, and AI-integrated workflows—covering risks such as prompt injection, data exfiltration, and privilege escalation.
- Lead threat modeling for agentic AI systems where models have access to tools, APIs, or sensitive data.
- Partner with AI/ML engineering teams to embed security review into AI development lifecycles, from model selection through deployment.
- Evaluate and deploy AI-native security tooling to augment the team’s detection, triage, and remediation capacity.
- Act as an internal consultant and advisory body to Product Engineering teams, guiding them on secure implementation practices.
- Communicate complex, highly technical security risks effectively to non-technical project managers and stakeholders.
- Influence and negotiate with software developers to prioritize and remediate vulnerabilities within their workflows.
- Serve as the primary technical bridge between Product Engineering and Security Operations, providing guidance on cloud and Kubernetes security configurations.
Requirements
- Hands-on experience with SAST, DAST, and SCA tooling (e.g., Semgrep, Snyk, Veracode, or equivalents) and guiding engineering teams on remediation.
- Deep understanding of securing cloud-native applications and services on AWS, including IAM, API Gateway, secrets management, and container workloads.
- Working knowledge of OWASP LLM Top 10, agentic AI attack surfaces (tool abuse, prompt injection, memory poisoning), and security considerations for AI systems with external integrations.
- Experience using AI-assisted security tools—such as AI-powered SAST, copilot-assisted code review, or agentic vulnerability triage—to scale team output.
- Strong working knowledge of the technical implications of operating within strict compliance frameworks, including ISO/SOC, PCI, and FedRAMP.
- Exceptional ability to translate highly technical concepts for non-technical stakeholders and the interpersonal skills required to influence engineering teams without direct reporting authority.
Benefits
- competitive healthcare coverage
- wellness programs
- take it when you need it time off
- parental leave
- recognition programs
- much more!
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