Anonymization Developer

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 PowerShell 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. 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 PowerShell 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. Key Qualifications 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 PowerShell 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. Nice to Have 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, OpenShift) and infrastructure-as-code (e.g., Ansible). Observability stacks (Prometheus/Grafana, ELK/EFK, OpenTelemetry). Performance profiling and capacity planning for API services and databases. Experience in regulated environments (banking/financial services). Mindset