Senior Database Security Engineer

We are seeking an experienced Senior Security Automation Engineer to design, build, and enhance our next-generation Data Access management (DAM) program spanning traditional, cloud-native, and emerging database technoloy

- Bachelor's degree in Computer Science, Artificial Intelligence, Information Security, Data Science, Engineering, or related technical field.

- 7+ years of software engineering in database security or related technical fields.

- 3+ years of experience with GenAI, LLMs, and agentic workflows

- Strong programming skills in Python, Java, NoSQL, REST API, Springboot .

- Experience building AI agents using frameworks such as LangGraph , LangChain or equivalent.

- Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration

- Exposure to implementing Agentless Database activity monitoring.

- Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.

- Strong understanding of anomaly detection, classification, and clustering.

- Hands-on experience implementing data security controls in AWS and GCP

- Experience working with large scale log, telemetry, and security datasets.

- Expand Database activity management and access management coverage to newly introduced databases and cloud data services.

- Design and implement custom database activity and access management solutions for relational, NoSQL, cloud-native, and emerging database platforms.

- Develop scalable pipelines to ingest, normalize, correlate, and analyze database audit logs, cloud-native logs, and security telemetry.

- Partner with security operations, database engineering, cloud engineering, and application teams to implement Database activity management at scale.

- Continuously evaluate emerging AI, database, and cloud technologies to improve access management capabilities.

- Integrate DSPM platforms to enrich Access management and monitoring with data classification, sensitivity labels, ownership metadata, and business context.

- Serve as the technical Subject Matter Expert (SME) for strategic initiatives and provide end-to-end ownership from requirements through production deployment.

- Build AI agent-based automation to correlate events across multiple security data sources and investigate anomalous database activity, unauthorized access detection.

- Build AI agent-based workflows to simplify Database Access attestation processes.

- Develop risk-scoring models that combine user behavior, data sensitivity, privilege level, access patterns and threat intelligence.

- Build automation workflows that reduce manual investigations and improve response times.

- Design dashboards and executive reporting for monitoring coverage, risk posture, and program maturity.