What are the main responsibilities of the Senior Security Engineer at Datarails?
The Senior Security Engineer at Datarails is responsible for owning and elevating the security posture of Datarails' cloud-native, AI-driven SaaS platform. Key duties include leading threat modeling, penetration testing, and vulnerability management; designing and improving cloud security controls across AWS, GCP, and/or Azure; securing AI/ML systems; driving compliance readiness for SOC 2, ISO 27001, and GDPR; embedding security into the SDLC and CI/CD pipelines; translating technical risk for business leaders; partnering cross-functionally with non-engineering teams; and leading or supporting incident response. Note: The role requires both hands-on engineering and strategic risk management. Detailed limitations not publicly documented; ask Datarails for specifics.
What qualifications and experience are required for the Senior Security Engineer position?
Candidates must have at least 8 years of experience in security engineering, security architecture, or a CISO/Security Officer role. Required skills include deep cloud security experience (AWS/GCP/Azure), hands-on threat modeling, penetration testing, vulnerability management, working knowledge of AI/ML security, and experience with compliance frameworks such as SOC 2, ISO 27001, and GDPR. Strong communication skills and the ability to operate cross-functionally are essential. Certifications like CISSP, CISM, or CCSP are considered a plus. Note: Prior experience in a fast-scaling SaaS or AI-driven product company is preferred but not mandatory.
What is the reporting structure for the Senior Security Engineer role?
The Senior Security Engineer reports directly to the Director of DevOps at Datarails. This structure ensures close collaboration with engineering leadership and a clear path to broader security ownership. Note: The role also involves cross-functional work with Customer Success, Marketing, Finance, and Legal teams.
Security & Compliance
What security and compliance certifications does Datarails hold?
Datarails is SOC 2 compliant, GDPR compliant, and holds ISO 27001 certification. These certifications demonstrate Datarails' commitment to secure data management, robust information security management systems, and compliance with European data protection regulations. For more details, see the SOC 2 Compliance and Compliance and Legal Documents pages. Note: For the most current certification status, refer to the Datarails Trust Center.
How does Datarails ensure the security of its cloud infrastructure and AI/ML systems?
Datarails implements advanced security controls across AWS, GCP, and Azure environments, including data encryption, SSO integration, granular role-based permissions, and data-deletion capabilities. The Senior Security Engineer is responsible for threat modeling, penetration testing, and vulnerability management, as well as securing AI/ML systems and addressing their unique risks. Datarails also maintains data isolation, ensuring customer data is never used to train external AI models. Note: While Datarails follows best practices, no system is immune to all threats; ongoing monitoring and improvement are part of the role.
Where can I find Datarails' compliance and legal documentation?
Datarails' compliance and legal documents, including the Terms of Service, Privacy Policy, and Data Processing Agreement, are publicly available on the Compliance and Legal Documents page. The Trust Center provides additional details about security practices, certifications, and compliance measures. Note: For audit or regulatory inquiries, contact Datarails directly for the latest documentation.
Technical Environment & Implementation
What cloud platforms and technologies does the Senior Security Engineer work with?
The Senior Security Engineer works with AWS, GCP, and Azure cloud environments. Responsibilities include designing and implementing security controls, embedding security into the SDLC and CI/CD pipelines, and securing AI/ML systems. Experience with these platforms is required for the role. Note: Familiarity with red-teaming LLM-based systems and frameworks like OWASP LLM Top 10 and NIST AI RMF is considered a plus.
What is the typical implementation timeline for Datarails' security and compliance programs?
Datarails typically implements new modules and compliance programs within 4-6 weeks, with some modules completed in as little as 2 weeks. Full deployment for complex functionalities is usually under three months. The Senior Security Engineer plays a key role in driving compliance readiness and audit support for frameworks such as SOC 2, ISO 27001, and GDPR. Note: Timelines may vary based on project scope and organizational needs.
Company & Culture
What makes Datarails an attractive place to work for security professionals?
Datarails offers a pivotal, high-visibility role with autonomy to shape security from the ground up. Security engineers collaborate directly with engineering leadership and have a clear path to broader security ownership. The company is at a meaningful inflection point of growth, focusing on securing a modern, AI-driven SaaS platform. Note: As with any fast-scaling company, priorities and responsibilities may evolve rapidly.
How does Datarails support cross-functional collaboration in security?
The Senior Security Engineer partners with Customer Success, Marketing, Finance, and Legal teams to build security awareness and implement practical, low-friction controls. Security is positioned as a shared, business-aware practice rather than a gate at the end of the line. Note: Success in this role requires strong communication skills and the ability to translate technical risk into business language.
Security Program & Career Growth
What opportunities for career growth does the Senior Security Engineer role offer?
This role provides direct collaboration with engineering leadership and the autonomy to shape Datarails' security program from the ground up. There is a clear path to broader security ownership as the company scales, and the opportunity to work on securing AI/ML systems at a meaningful inflection point of growth. Note: Advancement depends on performance and company growth trajectory.
Application Process
How can I apply for the Senior Security Engineer position at Datarails?
Candidates can apply directly through the Datarails careers page at this link. The application process may include interviews focused on technical skills, cloud security experience, and cross-functional communication. Note: Application requirements and process details may change; check the careers page for the latest information.
We're looking for a Senior Security Engineer to own and elevate the security posture of our cloud-native, AI-driven SaaS platform. Reporting to the Director of DevOps, you'll be the technical anchor for security across our product, infrastructure, and organization - combining hands-on engineering with the strategic judgment to translate risk into clear, actionable priorities. This is a high-ownership role for someone who can operate end to end: threat modeling a new feature in the morning, hardening cloud infrastructure in the afternoon, and briefing leadership on risk posture by the end of the week. As we scale our platform and deepen our use of AI/ML, you'll define how we build, ship, and operate securely - often standing up programs and controls that don't yet exist. You'll work cross-functionally well beyond engineering, partnering with Customer Success, Marketing, Finance, and Legal to make security a shared, business-aware practice rather than a gate at the end of the line.
What You'll Do • Own the day-to-day security engineering function across cloud infrastructure, application, and data layers. • Lead threat modeling, penetration testing, and vulnerability management across the product and platform lifecycle. • Design, implement, and continuously improve cloud security controls across AWS, GCP, and/or Azure environments. • Assess and secure our AI/ML systems, addressing the unique risks they introduce — from data pipelines to model and LLM behavior. • Drive compliance readiness and audit support for frameworks such as SOC 2, ISO 27001, and GDPR. • Embed security into the SDLC and CI/CD pipelines, partnering closely with DevOps and engineering teams. • Translate technical risk into clear business and board-level language, and advise leadership on prioritization and trade-offs. • Partner cross-functionally with non-engineering teams (Customer Success, Marketing, Finance, Legal) to build security awareness and practical, low-friction controls. • Lead or support incident response, including detection, containment, remediation, and post-incident review.
Requirements:
Must Have • 8+ years in security engineering, security architecture, or a CISO/Security Officer role. • Deep cloud security experience (AWS / GCP / Azure). • Hands-on with threat modeling, penetration testing, and vulnerability management. • Working knowledge of AI/ML systems and their unique security challenges. • Experience with compliance frameworks: SOC 2, ISO 27001, GDPR (or equivalent). • Strong communication — translates technical risk into business and board language. • Comfortable operating cross-functionally with non-engineering teams (CS, Marketing, Finance).
Nice to Have • Prior experience in a fast-scaling SaaS or AI-driven product company. • Hands-on red-teaming of LLM-based systems. • Familiarity with the OWASP LLM Top 10 and NIST AI RMF. • Certifications: CISSP, CISM, CCSP, or equivalent. • Experience standing up a security program from scratch (rather than scaling an existing one).
What We Offer • A pivotal, high-visibility role with the autonomy to shape security from the ground up. • Direct collaboration with engineering leadership and a clear path to broader security ownership. • The chance to secure a modern, AI-driven product at a meaningful inflection point of growth.
