Senior Security Engineer – Data Security & Security Reviews

We are looking for a Senior Security Engineer to lead data security, threat modeling, and security reviews across our applications and platforms. This role focuses on proactively identifying design-level risks, securing sensitive data, and ensuring systems are built with strong security foundations. You will work closely with engineering teams to influence architecture and embed security early in the development lifecycle.

Responsibilities

Lead security design reviews for new and existing systems, identifying risks and driving secure architecture decisions; Perform threat modeling for services and platforms, translating threats into actionable engineering requirements; Define and implement data protection strategies, including data classification and handling standards, encryption (at rest/in transit), key management and secrets handling; Review application architectures and APIs for security weaknesses and design flaws; Conduct third-party/vendor security assessments, ensuring risks are identified and mitigated; Partner with engineering teams to remediate findings and improve system design; Establish and evolve secure design patterns and guidelines for developers; Integrate security into design and development workflows (shift-left); Evaluate and secure AI/ML use cases, including risks such as data leakage and prompt injection; Contribute to security standards, policies, and best practices across the organization.

Requirements

8–12+ years of experience in security engineering or application security; Strong expertise in threat modeling and secure system design; Deep understanding of: Application security principles (OWASP Top 10, API security); Data protection and privacy concepts; Authentication and authorization mechanisms; Experience conducting architecture and design-level security reviews; Ability to read and understand code across common languages; Strong communication skills to influence engineering teams.

Nice to have

Experience in cloud environments (Azure preferred); Familiarity with secure SDLC practices and DevSecOps tooling; Experience with regulated environments (e.g., healthcare, finance); Knowledge of AI/ML security risks; Relevant certifications (e.g., CISSP, CSSLP); Strong analytical thinker who can identify risks early in design; Ability to translate security into practical engineering guidance; Comfortable working across teams and influencing decisions.