Senior Software Engineer, AI & Data Platforms (AI & Data Platforms)

Quick Facts

• Role: Hands-on Senior Software Engineer for AI & Data Platforms (AiDP)

• Focus: Platform services for privacy protection across hybrid on-prem and multi-cloud data ecosystems

• Key outputs: Data discovery, classification, encryption/tokenization/masking, and access governance

Description

Build and scale platform services that protect data privacy across a diverse database ecosystem spanning on-premise and multi-cloud environments. You will design and ship privacy controls at scale so teams can discover, classify, and protect sensitive data consistently wherever it lives. Work end to end and collaborate with security, legal, compliance, and data platform owners to enforce standards across data stores.

Responsibilities

• Design, develop, deploy, and maintain software enforcing privacy controls (data discovery, classification, access governance) across cloud and on-prem infrastructure

• Research and evaluate privacy-enhancing technologies (encryption, tokenization, masking, anonymization) for hybrid multi-cloud environments

• Work independently on critical, time-sensitive, highly visible privacy initiatives

• Partner with cross-functional teams to ensure privacy and security standards are implemented across data store technologies

• Treat privacy defects/incidents as opportunities to improve by building processes and tooling (automated detection, root-cause analysis, preventive controls)

Requirements

• 5+ years of software development experience

• Experience building highly available software services or platform infrastructure

• Experience designing, building, and maintaining API-driven microservices

• Proficient in Python (optional Java/Kotlin/C/C++)

• Hands-on cloud development experience (AWS, AliCloud or similar)

• Bachelor’s or Master’s degree in Computer Science, CyberSecurity, or related work experience

Preferred Qualifications

• Experience applying GenAI/ML to privacy use cases (sensitive data discovery/classification, PII detection, anomaly detection, UBA)

• Understanding of privacy/data protection SLOs (DSR turnaround, retention/deletion compliance, classification coverage)

• Ability to measure, report, and enforce SLOs via automation and visualizations

• Hands-on experience with diverse SQL/NoSQL databases and applying privacy controls (encryption, masking, access control, auditing) across different data models and platforms

Benefits

Opportunity to shape how sensitive data is discovered, classified, and protected across the organization by building privacy built into the platform.