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.Responsibilities:Design, build, and operate the data and infrastructure platform that powers our facial recognition systemBuild pipelines that ingest and store petabyte-scale data in object storage, then process and index it into databases and vector stores for fast retrievalDesign large-scale storage and retrieval systems, making deliberate choices between hot and cold storage tiers, distributed databases, and high-throughput messaging and streaming systemsRun and scale containerized services on a container orchestration platform, deploying them through declarative configuration and GitOps workflows across multiple environmentsBuild and maintain CI/CD pipelines, infrastructure as code, and the DevOps tooling that lets engineers ship safely and oftenOperate within and help maintain compliant federal environments such as FedRAMP, keeping the platform secure and auditableDesign and operate distributed systems with a focus on reliability, performance, and scaleOwn complex infrastructure projects end to end, from design through deployment and on-call ownership, showing a high level of agencyTroubleshoot, debug, and tune systems across the stack, from application code down to storage and networkingCollaborate with our world class engineering team and contribute to and improve our engineering paradigms, processes, and toolsMentor and support other engineers through code review, pairing, and technical guidanceOther reasonable additional responsibilities that may be asked from time to timeRequirements:5+ years of professional software engineering experience building and maintaining production systemsStrong proficiency in one or more backend languages and a modern development ecosystemStrong understanding of distributed systems, including their failure modes, consistency tradeoffs, and behavior at scaleHands-on experience with AWS and running production workloads in the cloudHands-on experience with containers and container orchestrationExperience designing large-scale data storage and retrieval, including hot and cold storage strategiesExperience with databases across the spectrum, including relational, distributed, and vector databasesStrong DevOps foundation: CI/CD, infrastructure as code, observability, and automated deploymentsSolid grasp of computing fundamentals, data structures, and system designBS/MS in Computer Science, Engineering, Math or equivalent experienceNice to have:Experience working in FedRAMP or other federal or regulated environmentsExperience operating distributed SQL databases in productionExperience with high-throughput messaging and streaming systemsExperience operating vector databases at scale for retrieval and similarity searchExperience with declarative configuration and GitOps-based continuous deliveryExperience ingesting and processing petabyte-scale datasets from object storageBenefits:Medical, Dental, Vision, STD and LTD PlansFSA - Medical and Dependent CareEAP and wellness programs13 Paid HolidaysUnlimited PTOFlexible work environment401(k) planAbout Clearview AIWe specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.
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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.Responsibilities:Design, build, and operate the data and infrastructure platform that powers our facial recognition systemBuild pipelines that ingest and store petabyte-scale data in object storage, then process and index it into databases and vector stores for fast retrievalDesign large-scale storage and retrieval systems, making deliberate choices between hot and cold storage tiers, distributed databases, and high-throughput messaging and streaming systemsRun and scale containerized services on a container orchestration platform, deploying them through declarative configuration and GitOps workflows across multiple environmentsBuild and maintain CI/CD pipelines, infrastructure as code, and the DevOps tooling that lets engineers ship safely and oftenOperate within and help maintain compliant federal environments such as FedRAMP, keeping the platform secure and auditableDesign and operate distributed systems with a focus on reliability, performance, and scaleOwn complex infrastructure projects end to end, from design through deployment and on-call ownership, showing a high level of agencyTroubleshoot, debug, and tune systems across the stack, from application code down to storage and networkingCollaborate with our world class engineering team and contribute to and improve our engineering paradigms, processes, and toolsMentor and support other engineers through code review, pairing, and technical guidanceOther reasonable additional responsibilities that may be asked from time to timeRequirements:5+ years of professional software engineering experience building and maintaining production systemsStrong proficiency in one or more backend languages and a modern development ecosystemStrong understanding of distributed systems, including their failure modes, consistency tradeoffs, and behavior at scaleHands-on experience with AWS and running production workloads in the cloudHands-on experience with containers and container orchestrationExperience designing large-scale data storage and retrieval, including hot and cold storage strategiesExperience with databases across the spectrum, including relational, distributed, and vector databasesStrong DevOps foundation: CI/CD, infrastructure as code, observability, and automated deploymentsSolid grasp of computing fundamentals, data structures, and system designBS/MS in Computer Science, Engineering, Math or equivalent experienceNice to have:Experience working in FedRAMP or other federal or regulated environmentsExperience operating distributed SQL databases in productionExperience with high-throughput messaging and streaming systemsExperience operating vector databases at scale for retrieval and similarity searchExperience with declarative configuration and GitOps-based continuous deliveryExperience ingesting and processing petabyte-scale datasets from object storageBenefits:Medical, Dental, Vision, STD and LTD PlansFSA - Medical and Dependent CareEAP and wellness programs13 Paid HolidaysUnlimited PTOFlexible work environment401(k) planAbout Clearview AIWe specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.
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