Anonymization Developer

Mission

• Design, implement, and operate services and tooling for enterprise-grade data anonymization and protection across production databases.
• Develop and maintain REST API backends enabling anonymization workflows and integration with upstream/downstream systems.
• Build automation and operational scripts in Power Shell and Bash to deploy, monitor, and manage DAP services.
• Contribute to backend services and utilities in Java and/or C# with clean, testable, and secure code.
• Integrate with and support multiple database engines (MongoDB, MS SQL Server, Oracle), including schema discovery, profiling, and rules application.
• Collaborate with security, data governance, and application teams to define and enforce data masking/tokenization standards and policies.
• Implement observability (logging, metrics, tracing) and CI/CD pipelines for reliable delivery and operations.
• Troubleshoot incidents, perform root-cause analysis, and drive continuous improvements in scalability, reliability, and performance.
• Document APIs, runbooks, and operational procedures; contribute to knowledge sharing and onboarding materials.

• Strong, practical experience building and operating REST API backends (designing endpoints, versioning, authentication/authorization, performance tuning, resilience).
• Hands-on programming in at least two of the following:
  Java, C#; and scripting proficiency in Power Shell and Bash.
• Solid database fundamentals and hands-on experience with:
  • MongoDB (collections, indexing, aggregation, performance basics)
  • Microsoft SQL Server (T-SQL, schema design, indexing strategies)
  • Oracle Database (PL/SQL fundamentals, performance considerations)
• Experience integrating backends with databases securely (connection handling, secrets management, least privilege).
• Familiarity with data anonymization/masking/tokenization concepts and patterns.
• Good understanding of secure software development practices (Kerberos, OWASP, input validation, secrets handling, TLS, logging without leakage).
• Comfortable with CI/CD tools and version control; experience with automated testing and code quality practices.

• Experience with enterprise data masking/tokenization tools or libraries.
• Knowledge of data governance and privacy frameworks (GDPR, data minimization, DPIA).
• Exposure to event-driven architectures, message queues, or ETL/ELT pipelines.
• Containerization and orchestration (eg Docker/Podman, Open Shift) and infrastructure-as-code (e.g., Ansible).
• Observability stacks (Prometheus/Grafana, ELK/EFK, Open Telemetry).
• Performance profiling and capacity planning for API services and databases.
• Experience in regulated environments (banking/financial services).

• Ownership mentality with a bias for clean, pragmatic solutions.
• Strong problem-solving skills and ability to debug complex, distributed issues.
• Clear communication and collaboration with cross-functional teams.
• Attention to detail in security and compliance.

• Languages:
  
  Java, C#
• Scripting:
  Power Shell, Bash
• Databases:
  MongoDB, MS SQL Server, Oracle
• APIs: REST-first design, OpenAPI/Swagger, OAuth2/OIDC, Kerberos
• Dev Ops:
  Git-based workflows, CI/CD in Azure Dev Ops, containers, observability

• Opportunity to shape a bank-wide platform critical to data protection and privacy.
• Collaborative environment with security, data, and platform engineers.
• Professional development, certifications, and training support.
• Competitive compensation and benefits aligned with industry standards.
• Flexible work practices in a modern engineering environment.

• Swiss Residence :
  Mandatory