We are seeking a Senior Developer with expertise in Privacy-Enhancing Technologies (PETs) to develop scalable, production-ready privacy solutions across complex data environments. The role requires strong experience in Python, data engineering, cloud infrastructure, and DevOps.
Key Responsibilities
Develop and implement PET solutions for structured and unstructured data.
Integrate open-source libraries and platforms into production environments.
Build and test proof-of-concept solutions for performance, scalability, and privacy.
Develop and optimize ETL/data pipelines for data processing and sanitization.
Provision and manage cloud infrastructure and DevOps workflows.
Evaluate emerging technologies and provide technical recommendations.
Create technical documentation, reports, and project deliverables.
Key Qualifications
Active Secret-level security clearance or eligibility to obtain one.
Master’s or Ph.D. In Computer Science, Data Science, AI/ML, Cybersecurity, Cryptography, Mathematics, Statistics, or related field.
5+ years of Python development with tools such as pandas, NumPy, SciPy, PySpark, PyTorch, scikit-learn, or Polars.
3+ years of DevOps experience, including CI/CD, version control, and software engineering best practices.
Hands-on experience with PETs such as anonymization, differential privacy, synthetic data, federated learning, homomorphic encryption, or SMPC.
Experience with Azure, Fabric, Azure Data Lake, Databricks, Docker, Terraform/Ansible, and Linux.
Knowledge of advanced ML techniques including Transformers, GANs, Autoencoders, and RAG.
Experience working with large and complex datasets, preferably in regulated environments.
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