Principal Security Engineer
BerlinHybridFull-time
AI Summary
Principal Security Engineer responsible for architecting scalable security for Pipedrive’s SaaS platform, building AI-driven security agents, and embedding security into CI/CD and IaC while partnering with engineering and business teams.
About this role
We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.
We’re looking for a Principal Security Engineer to join Pipedrive as a technical builder responsible for engineering the security architecture of our SaaS platform, corporate operations and the tools and methods the security team will use. This position is a high-level engineering role focused on building the systems that automate security at scale and simultaneously address the threats to them. The role will also be an active partner across the business acting in an advisory role to both technical and business partners to ensure their vision and objectives can be safely met.
If this sounds like an exciting opportunity, we’d love to chat!
Your new adventure:
Security Engineering & Agentic Automation
- Engineer and architect scalable security solutions for cloud-native environments to protect customer data, applications, and networks
- Develop autonomous security agents and workflows using LLMs and agentic frameworks to automate complex tasks such as event monitoring and triage, threat modeling, vulnerability discovery and remediation
- Design and build automated identity and access management (IAM), data encryption, and threat detection capabilities that function without manual intervention
- Create technical baselines and security controls for AI-driven products, ensuring data model integrity and the security of training pipelines
- Build defenses against emerging AI-specific threats, such as prompt injection, model inversion, and data leakage, within both customer-facing and internal AI initiatives
- Conduct deep-dive technical reviews of AI architectures to ensure security is embedded into the foundation of every new model and automation project
- Lead the response effort during active security incidents and provide expert analysis when called upon for internal investigations
- Partner with Engineering and SRE teams to engineer security directly into our Platform, CI/CD pipelines and Infrastructure-as-Code (IaC)
- Provide technical mentorship to security and engineering teams, fostering a culture where security is viewed as an engineering challenge to be solved with code
- Ensure that all engineered solutions align with the broader enterprise security strategy
AI Security Architecture & Integrity
Technical Leadership & Collaboration
Does this sound like you?
Why Pipedrive?
Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.
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Skills
Agentic FrameworksAI Model SecurityAI SecurityAutomation ToolingCI/CD PipelinesCloud SecurityData EncryptionData Leakage DefensesDevSecOpsIaCIAMIdentity And Access ManagementIncident ResponseLLM APIsLLM-based AutomationModel Inversion DefensesNetwork SecurityPrompt Injection DefensesRemediationSaaS SecuritySecure SDLCSecurity ArchitectureSecurity AutomationSecurity GovernanceSRE CollaborationThreat DetectionThreat ModelingVPC SecurityVulnerability Discovery
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