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Onsite or remote • Amsterdam+1💼 Full-time🗓 2026-06-25

Core

Build and evolve the Sensity deepfake detection platform backend, serving cloud and on-premise enterprise customers.

Role type

Senior Backend Engineer

Builds

Backend services, testing/deployment pipelines, and on-premise software packages for enterprise clients.

Domain

Cybersecurity / Deepfake Detection / Cloud Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Python, FastAPI, Django, PostgreSQL, Docker, Kubernetes, Linux, Windows, event-driven architecture

Preferred skills

Experience with ML inference systems, on-call ownership

Technologies

Python, FastAPI, Django, PyTorch, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Docker Compose, Electron, Vue.js, React

Responsibilities

Develop backend services for deepfake detection; strengthen testing and deployment pipelines; solve challenges in packaging and delivering on-premise software; improve cloud infrastructure for stability and speed; contribute to new platform features.

Seniority

Senior, hands-on IC

Rewrite
## About the Role We're hiring a senior backend engineer to help us build and evolve the Sensity platform. You'll work across the full backend, from product features to infrastructure, as part of a small team that ships often. This is a role for someone who delivers high-quality work consistently, takes real ownership of what they build, and enjoys working as part of a tight team. ## What You'll Work On - Develop and evolve the backend services behind Sensity's deepfake detection platform, serving both our cloud and on-premise customers. - Strengthen our testing and deployment pipeline so we can ship fast and confidently to both cloud and on-premise environments. - Solve the engineering challenges that come with packaging and delivering on-premise software to enterprise customers, from licensing and code obfuscation to deployment operations. - Improve cloud infrastructure as our customer load grows, with a focus on stability, speed, and rethinking how our detection models are deployed and served. - Contribute to new platform features alongside the rest of the engineering team. ## Our Stack - Backend. Python, FastAPI, Django, PyTorch. - Architecture. Event-driven for asynchronous media processing. - Frontend. Vue.js and React. - Data. PostgreSQL. - Cloud. Google Cloud Platform, Docker, Kubernetes. - On-premise. Docker Compose, Electron, Linux and Windows. ## What You'll Bring - From 5 to 10 years of backend engineering experience and a track record of owning services in production: design, deployment, on-call, the whole thing. - Strong Python skills, with hands-on experience in FastAPI and Django. - Comfort working with Postgres in production. - Working knowledge of Docker and Kubernetes. - Familiarity with Linux and Windows. - Comfort working alongside ML and inference systems. You don't need to train models, but you should be at ease in code that does. ## The Kind of Person We're Looking For - Ships consistently. You produce good work at a good pace, and you have judgment about when something is done. - Collaborative. A strong communicator with both technical and non
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