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
