Senior Software Engineer

Clearview AI•New York, NY

4d•$175,000 - $220,000•Hybrid

About The Position

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, please 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.

Requirements

5+ years of professional software engineering experience building and maintaining production systems
Strong proficiency in one or more backend languages and a modern development ecosystem
Strong understanding of distributed systems, including their failure modes, consistency tradeoffs, and behavior at scale
Hands-on experience with AWS and running production workloads in the cloud
Hands-on experience with containers and container orchestration
Experience designing large-scale data storage and retrieval, including hot and cold storage strategies
Experience with databases across the spectrum, including relational, distributed, and vector databases
Strong DevOps foundation: CI/CD, infrastructure as code, observability, and automated deployments
Solid grasp of computing fundamentals, data structures, and system design
BS/MS in Computer Science, Engineering, Math or equivalent experience

Nice To Haves

Experience working in FedRAMP or other federal or regulated environments
Experience operating distributed SQL databases in production
Experience with high-throughput messaging and streaming systems
Experience operating vector databases at scale for retrieval and similarity search
Experience with declarative configuration and GitOps-based continuous delivery
Experience ingesting and processing petabyte-scale datasets from object storage

Responsibilities

Design, build, and operate the data and infrastructure platform that powers our facial recognition system
Build pipelines that ingest and store petabyte-scale data in object storage, then process and index it into databases and vector stores for fast retrieval
Design large-scale storage and retrieval systems, making deliberate choices between hot and cold storage tiers, distributed databases, and high-throughput messaging and streaming systems
Run and scale containerized services on a container orchestration platform, deploying them through declarative configuration and GitOps workflows across multiple environments
Build and maintain CI/CD pipelines, infrastructure as code, and the DevOps tooling that lets engineers ship safely and often
Operate within and help maintain compliant federal environments such as FedRAMP, keeping the platform secure and auditable
Design and operate distributed systems with a focus on reliability, performance, and scale
Own complex infrastructure projects end to end, from design through deployment and on-call ownership, showing a high level of agency
Troubleshoot, debug, and tune systems across the stack, from application code down to storage and networking
Collaborate with our world class engineering team and contribute to and improve our engineering paradigms, processes, and tools
Mentor and support other engineers through code review, pairing, and technical guidance
Other reasonable additional responsibilities that may be asked from time to time