Senior Software Engineer

clearview; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Clearview is looking for a Senior Platform Engineer in New York, NY to design and operate the data infrastructure for their facial recognition technologies. This role requires expertise in distributed systems and DevOps, along with the ability to manage large-scale data pipelines and container orchestration.

The ideal candidate will have a strong engineering background and appreciate significant ownership of systems from architecture to deployment. This is a hands-on position in a fast-growing startup focused on delivering secure and scalable solutions.

Qualifications

• Strong background in distributed systems engineering required.
• Experience with DevOps practices essential.
• Ability to design and implement data pipelines for large-scale data.

Responsibilities

• Design, build, and operate data and infrastructure platform.
• Ingest petabyte-scale data and build queryable databases.
• Ensure reliability, security, and scale within compliant federal environments.

Skills

Distributed systems engineering

DevOps

Container orchestration

Data pipelines

Job description

Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high‑octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team.

To learn more about us and our revolutionary facial recognition technology, visit www.clearview.ai.

Position Summary

We are hiring a Senior Platform Engineer to design, build, and operate the data and infrastructure platform behind our facial recognition and data systems. This is a software‑heavy, hands‑on role for an engineer who is comfortable owning systems end to end, from architecture and implementation through deployment and on‑call operation.

You will build pipelines that ingest petabyte‑scale data into object storage and turn it into fast, queryable databases and vector stores, design large‑scale storage and retrieval across hot and cold tiers, and run distributed services on container orchestration using declarative configuration and GitOps workflows. The platform runs in the cloud and operates within compliant federal environments, so reliability, security, and scale sit at the center of everything you build. We are looking for a strong distributed systems engineer with deep DevOps instincts who wants significant ownership and the autonomy to make sound technical tradeoffs.