Job ID: 14380

Job Title: Senior Python Developer –

- Privacy-Enhancing Technology (PET) –
- Secret Cleared

Contract Length: 12 Months

Location: Ottawa, ON –
- Hybrid (approximately 4 days per month onsite; occasional onsite attendance required)

Vacancy Type

Federal Government Clearance Level Required:

- New Position

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About Us

Maplesoft Group is currently seeking a Senior Python Developer –

- Privacy-Enhancing Technology (PET) for a contract chance. This role will provide hands-on expertise in developing, testing, and operationalizing privacy-preserving solutions for structured and unstructured datasets. The ideal candidate will combine advanced Python, data science, machine learning, ETL, cloud infrastructure, DevOps, and privacy engineering experience.

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Position Summary The Senior Python Developer will develop and implement Privacy-Enhancing Technologies (PETs) and privacy-preserving data solutions, with a strong focus on moving proof-of-concept solutions into reliable, scalable, production-ready applications.

The successful candidate will have direct experience with technologies such as differential privacy, data anonymization/de-identification, synthetic data, federated learning, homomorphic encryption, secure multiparty computation, or comparable privacy-preserving techniques.

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Key Responsibilities

- Develop and implement Privacy-Enhancing Technologies for structured and unstructured datasets.
- Design privacy-preserving data-processing approaches, including anonymization, de-identification, differential privacy, and synthetic data generation.
- Integrate open-source libraries, platforms, and technical components into operational solutions.
- Design, develop, and validate proofs of concept with a focus on production deployment.
- Build test harnesses to evaluate privacy, performance, scalability, and data-quality metrics.
- Create, maintain, and optimize ETL and data-processing pipelines.
- Analyze large, complex, structured,



semi-structured, unstructured, nested, graph, and network-based datasets.
- Provision, configure, orchestrate, and manage cloud resources supporting deployed solutions.
- Apply DevOps, version control, automated testing, CI/CD, and deployment practices.
- Evaluate emerging technologies and frameworks to improve solution performance, scalability, efficiency, and maintainability.
- Analyze technical findings and prepare recommendations for scalable PET solutions.
- Prepare technical reports, documentation, data artifacts, presentations, and other project deliverables.
- Present technical conclusions and privacy, performance, and scalability trade-offs to stakeholders.

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Required Qualifications

- Currently based in Canada and legally authorized to work in Canada.
- Valid Government of Canada Secret security clearance.
- Minimum 5 years of recent professional Python development experience.
- Strong experience with Python data, scientific-computing, and machine-learning libraries such as NumPy, SciPy, pandas, Polars, PySpark, PyTorch, scikit-learn, Matplotlib, and/or Seaborn.
- Minimum 3 years of recent DevOps experience supporting data-science or machine-learning applications.
- Experience applying SOLID software-development principles.
- Strong Git or comparable version-control experience.
- Experience implementing CI/CD pipelines and automated testing.
- Experience processing and analyzing large, complex datasets.
- Direct, demonstrable experience developing or implementing Privacy-Enhancing Technologies.
- Experience working with government, financial services, banking, insurance, healthcare, or another regulated environment.





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Preferred Qualifications

- Master’s degree or Ph.D. in Computer Science, Data Science, AI/ML, Privacy-Enhancing Technologies, Cybersecurity, Cryptography, Mathematics, Statistics, or a related technical discipline.
- Direct experience with differential privacy, synthetic data, federated learning, homomorphic encryption, secure multiparty computation, zero-knowledge proofs, anonymization, or de-identification.
- Experience with Microsoft Azure, Microsoft Fabric, Azure Data Lake, Azure Databricks, Jupyter Notebooks, Docker, and Linux.
- Experience with Infrastructure as Code, including Terraform, Ansible, Puppet, Chef, or equivalent technologies.
- Knowledge of Monte Carlo simulation, Markov models, statistical privacy, and disclosure-control techniques.
- Experience with machine-learning methodologies, GANs, transformers, autoencoders, and retrieval-augmented generation.
- Strong technical documentation and stakeholder-presentation skills.
- Ability to attend the Ottawa office approximately four days per month.

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Compensation

Salary Range: $80.00 - $100.00 / hour

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Our recruitment process is led by human recruiters who review all applications and make the final hiring decisions. We use AI-assisted tools to help screen and organize applications. These tools do not replace human judgment, and all hiring decisions are made by people.

Please note that data collected by the Company may be stored or processed on servers located outside of Canada.

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Application Submission Details

Submission Deadline

Friday, Sept. 4, 2026 - 5:00pm EST

How To Apply

Click the "APPLY NOW"

- Button below:

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Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.

📌 Senior Python Developer – Privacy-Enhancing Technology (PET) – Secret Cleared (Ottawa)
🏢 Maplesoft Group, an SEB
📍 Ottawa