Software Engineer

Job summary

Develop and implement Privacy-Enhancing Technologies (PETs) to ensure data privacy and security. Analyze and manage large, complex datasets within highly regulated environments using cloud-based analytics platforms.

Job details

Qualifications & Experience Education and Certifications Master's or Ph.D. in fields related to privacy-enhancing technologies, artificial intelligence, machine learning, cybersecurity, cryptography, computer science, data science, mathematics, or statistics. Relevant Experience 5+ years of recent demonstrated Python development experience with libraries such as numpy, scipy, pandas, polars, pyspark, pytorch, scikit-learn, and matplotlib/seaborn. 3+ years of recent demonstrated extensive experience in DevOps principles, practices, and methodologies including SOLID principles, software version control, continuous integration and deployment for data science applications. Demonstrated experience analyzing and working with large, complex datasets within public sector, financial services, or similarly regulated environments. Demonstrated experience developing and implementing Privacy-Enhancing Technologies (PETs), including data anonymization, de-identification, differential privacy, secure multiparty computation, federated learning, homomorphic encryption, or similar privacy-preserving techniques. Demonstrated knowledge of data structures, data models, and data relationships, including structured, semi-structured, unstructured, nested, graph, and network-based datasets. Demonstrated experience using cloud-based data and analytics platforms, including Microsoft Azure, Microsoft Fabric, Azure Data Lake, Azure Databricks, Jupyter Notebooks, and Docker.

What you’ll do

Develop and implement Privacy-Enhancing Technologies (PETs) to ensure data privacy and security. Analyze and manage large, complex datasets within highly regulated environments using cloud-based analytics platforms.

Requirements

Requires a Master's or Ph.D. in a relevant technical field with over 5 years of Python development and 3 years of DevOps experience. Must have demonstrated expertise in privacy-preserving techniques and cloud platforms like Azure.

Listed skills

• Microsoft Azure · Preferred
• Docker · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• DevOps
• Privacy-Enhancing Technologies
• Machine Learning
• Artificial Intelligence
• Cryptography
• Data Anonymization
• Differential Privacy
• Secure Multiparty Computation
• Federated Learning
• Homomorphic Encryption
• Microsoft Azure
• Microsoft Fabric
• Azure Databricks
• Docker
• PyTorch

Job areas

• Software
• Data & Analytics
• Technology
• Engineering
• Security & Safety