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.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

- 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.