Complexio

Senior Software Security Engineer

Complexio

full-time

Posted on:

Origin:  • 🇵🇱 Poland

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGraphQLKubernetesNeo4jNoSQLPostgresPythonRedisSQL

About the role

  • Design and implement a comprehensive data privacy and access control architecture addressing multi-dimensional classification, dynamic permissions, and information barriers.
  • Tech lead a small dedicated team focused on privacy-preserving access controls and coordinate with cross-functional teams including data ingestion, knowledge mapping, and automation developers.
  • Develop and enforce security and privacy standards, policies, and best practices throughout the product development lifecycle.
  • Architect a multi-layered access control model combining Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and purpose-based limitations.
  • Oversee implementation of fine-grained data classification frameworks using NLP and other technologies.
  • Design and validate permission propagation mechanisms for graph data models and derived insights.
  • Establish security boundaries for autonomous AI agents, ensuring proper context isolation and privilege controls.
  • Work closely with engineering teams to integrate privacy controls into the data pipeline, knowledge graph, and AI components.
  • Collaborate with product management to balance privacy requirements with usability and functionality.
  • Coordinate with customer success to address client-specific privacy and compliance needs.
  • Influence and guide development teams to prioritize privacy-by-design principles.

Requirements

  • 5+ years of experience on a similar position.
  • Advanced knowledge of Python (async/await, cryptography libraries, FastAPI).
  • Experience with container security (Docker, Kubernetes secrets, network policies).
  • Experience with identity providers (Microsoft EntraID, Okta, Auth0 integration)).
  • Experience with database systems (PostgreSQL, Redis; graph databases preferred) and cloud security (AWS/Azure IAM, KMS, security groups).
  • Knowledge of AI/ML systems and the unique privacy challenges they present.
  • Understanding of data privacy regulations (GDPR, CCPA) and their technical implementation requirements.
  • Familiarity with LLMs and the privacy implications of their use in enterprise contexts.
  • Understanding of vector databases and embedding-based systems.
  • Background in data lineage and provenance tracking systems.
  • Experience with graph databases (particularly Neo4j) and their security models.
  • Security certifications such as CISSP, CIPT, or CIPP/E.
  • Experience in regulated industries (finance, healthcare, legal) with complex information barrier requirements.
  • Experience building encryption systems (e.g. using AES, RSA, and key management services).
  • Hands-on development with OAuth 2.0, OpenID Connect, JWT validation, and RBAC/ABAC systems.
  • Building secure REST/GraphQL APIs with middleware for authentication, rate limiting, and input validation.
  • Implementing access controls, query filtering, and audit logging for SQL and NoSQL databases.
  • Securing pub/sub systems with encryption, authentication, and access controls.
  • Built production encryption/decryption systems handling sensitive data at scale.
  • Implemented fine-grained permission systems beyond simple role-based access.
  • Developed secure multi-tenant applications with data isolation between customers.
  • Created audit logging and compliance reporting for regulated environments.
  • Integrated with enterprise identity systems in complex organizational structures.
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