Job Description
JOB SUMMARY :
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 T-Mobile'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 T-Mobile 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.
- Participate in agile ceremonies, sprint planning, and team knowledge-sharing initiatives.
What You'll Bring
- 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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