Senior Full Stack Engineer

• The Senior Full Stack Engineer Privacy will design, build, and maintain production-grade web applications and APIs that power client’s data privacy platform, including Data Subject Request (DSR) processing, consent management, and regulatory compliance workflows. Working within the Data & Intelligence organization’s Privacy practice, this engineer operates at the intersection of frontend, backend, and cloud engineering to deliver responsive, secure, and scalable solutions supporting client’s privacy obligations across a customer base of over 100 million.
• You will collaborate closely with privacy product managers, data engineers, AI/ML engineers, and legal and compliance teams to translate complex regulatory requirements - including CCPA, CPRA, TCPA, and other state privacy laws - into reliable software systems. You will also integrate with third-party privacy platforms such as OneTrust and leverage modern DevOps practices to ensure rapid and reliable delivery.

What You’ll Do Full Stack Development

• Design and build scalable, high-performance web applications using React or Angular for frontend and Python (FastAPI/Django) or Node.js for backend services.
• Develop and maintain RESTful APIs and microservices supporting privacy workflows including Data Subject Requests (DSR), consent management, and opt-out processing.
• Build responsive, accessible UIs that surface privacy compliance dashboards, DSR status tracking, and operational metrics to internal and external stakeholders.
• Integrate with privacy platforms such as OneTrust to automate rights fulfillment workflows across client’s systems.
• Implement secure data handling patterns to ensure PII protection across all layers of the application stack.

Backend & API Engineering

• Architect and maintain microservices-based backends, applying REST and event-driven architectural patterns using Kafka or equivalent messaging systems.
• Design and implement data models, database schemas, and query optimizations across relational (Oracle, MySQL, Snowflake) and NoSQL data stores.
• Write well-tested, documented code; participate actively in code reviews and uphold engineering quality standards.
• Use Swagger/OpenAPI to document APIs and ensure consistent integration patterns across engineering teams.

Cloud & DevOps

• Deploy and manage cloud-native services on Azure or AWS including compute, storage, serverless functions, and container registries.
• Build and maintain CI/CD pipelines using GitLab or Azure DevOps to enable reliable, automated software delivery.
• Apply containerization and orchestration using Docker and Kubernetes for scalable, resilient service deployments.
• Implement observability best practices including monitoring, alerting, and log analysis using Splunk, AppDynamics, or Grafana.

Privacy & Compliance Engineering

• Implement technical controls to support compliance with CCPA, CPRA, TCPA, and other applicable state and federal privacy regulations.
• Build and maintain audit logging and data lineage tracking to support privacy impact assessments and regulatory reporting.
• Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into engineering specifications and solutions.
• Contribute to the design of data minimization, retention, and deletion workflows within the client privacy platform.

AI-Assisted Engineering

• Daily use of AI productivity tools (current stack: Claude and Cursor or similar IDE) for code development, code review, debugging, testing, and documentation.
• Contribute to AI-assisted automation of privacy workflows including intelligent DSR routing, anomaly detection, and notification systems.

Technical Leadership & Collaboration

• Partner with data engineers, AI/ML engineers, product managers, and compliance stakeholders to deliver end-to-end privacy solutions.
• Produce and maintain clear technical documentation, architecture diagrams, and runbooks.
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• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5 7 years of hands-on full stack software engineering experience in production environments.
• Strong proficiency in Python (FastAPI or Django) and/or Node.js for backend development.
• Strong proficiency in React or Angular for frontend development.
• Solid experience designing and building RESTful APIs and microservices architectures.
• Experience working with relational databases (Oracle, MySQL, Snowflake) and writing complex SQL queries.
• Proven experience with cloud platforms (Azure or AWS) and containerization using Docker and Kubernetes.
• Experience with CI/CD pipelines using GitLab or Azure DevOps.
• Strong understanding of data security, PII protection, and secure coding principles.
• Excellent problem-solving, analytical, and written communication skills.
• Experience working in Agile/Scrum delivery environments.

Must Have Skills

• Proficiency in Python (FastAPI/Django) or Node.js for backend API and microservices development (Required)
• Proficiency in React or Angular for frontend UI development (Required)
• Strong experience building and consuming RESTful APIs (Required)
• Experience with relational databases (Oracle, MySQL, or Snowflake) and SQL (Required)
• Hands-on experience with cloud platforms (Azure or AWS) including serverless and container services (Required)
• Experience with CI/CD pipelines using GitLab or Azure DevOps (Required)
• Experience with Docker and Kubernetes for containerized deployments (Required)
• Experience with observability tools such as Splunk, AppDynamics, or Grafana (Required)
• Familiarity with privacy regulations (CCPA, CPRA, TCPA) and their technical implications (Preferred)
• Experience with OneTrust or similar consent and rights management platforms (Preferred)
• Hands-on experience with AI productivity tools (Claude and Cursor or similar) (Preferred)

Nice to Have

• Experience implementing Data Subject Request (DSR) or consent management workflows.
• Knowledge of data minimization, retention, and deletion engineering patterns.
• Experience integrating third-party SaaS platforms (OneTrust, Salesforce, Jira) via APIs.
• Familiarity with agentic AI frameworks (LangChain, LangGraph, or equivalent) for workflow automation.
• Relevant certifications: Microsoft Azure Developer (AZ-204), AWS Solutions Architect, or equivalent.

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