Privacy and Security

Role Overview:

We are seeking an experienced engineer (3–6 years) to lead the design and

development of a robust orchestration layer for Privacy Enhancing Technologies (PETs),

including Trusted Execution Environments (TEEs), Secure Multi-Party Computation (MPC),

Federated Learning (FL), and Homomorphic Encryption (HE).

This role sits at the intersection of systems engineering, applied cryptography, and distributed

systems, and requires ownership of the end-to-end system lifecycle of the platform, from

architecture design to deployment and evolution. You will play a critical role in translating

cutting-edge privacy research into production-ready, scalable infrastructure, addressing the

current fragmentation of PET solutions and enabling unified, real-world deployments.

We are looking for a systems thinker, with the ability to reason across layers (application,

infrastructure, and privacy/security guarantees), with a builder mindset. The ideal candidate

should exhibit curiosity in the security and privacy domain.

Key Responsibilities

1. System Architecture and Design – Design and implement a modular orchestration layer

integrating multiple PETs (TEE, MPC, FL, HE).

2. End-to-End Ownership – Lead the system architecture design, implementation,

deployment and scaling. Own the integration with existing data exchange architectures,

security data flows, trust boundaries.

3. Orchestration and Integration - Integrate open-source and proprietary PET frameworks into

a unified platform, addressing real-world constraints such as latency, cost, and

interoperability.

4. Technical Leadership and Vision – Drive architectural decisions and technical direction for

PET infrastructure, translating evolving research into practical system designs. Identify

emerging paradigms and orchestration models within the PET community.

5. Mentorship - Work cross-functionally with research, product, and infrastructure teams.

Mentor junior engineers on secure system design.

Required Qualifications

1. Bachelor’s degree in engineering or related discipline

2. 3–5 years of experience in backend systems, distributed systems, or platform engineering.

3. Demonstrable experience in building systems driven by security and privacy constraints.

4. Familiarity with at least a few topics from secure systems, cryptography, privacy

enhancing technologies, distributed systems

5. Strong programming skills (e.g., Python, Go, Rust, or Java).

6. Experience designing scalable, production-grade systems.

7. Solid understanding of system design, APIs, and microservices architectures.

Preferred Qualifications

1. Master’s degree with a focus on computer science, electrical engineering, or other

engineering disciplines

2. Hands-on experience in exploring privacy enhancing technology frameworks (TEE based

systems, MPC systems, federated learning systems).

3. Exposure to privacy engineering practices, including compliance and data governance.

4. Experience contributing to open-source or research-driven systems.

5. Experience working with cloud orchestration tools such as K8s, and Infra as Code tools

such as Terraform

Work Location: In person