
Artificial Intelligence • Security • Finance
Socure is a leading platform for digital identity verification and trust. Utilizing advanced predictive analytics, artificial intelligence, and machine learning technologies, Socure leverages vast online and offline data intelligence including email, phone, address, IP, and device information to verify identities in real-time. Their solutions address challenges in onboarding, login authentication, account takeover prevention, and contact center operations. Socure's AI-powered platform excels in combating identity fraud, ensuring compliance, and enhancing user experiences across various industries such as financial services, eCommerce, online gaming, and crypto.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
🔐 Security
💸 Finance
💰 $450M Series E on 2021-11
September 30
🌺 Hawaii – Remote
🌶️ New Mexico – Remote
+4 more states
💵 $190k - $210k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Artificial Intelligence • Security • Finance
Socure is a leading platform for digital identity verification and trust. Utilizing advanced predictive analytics, artificial intelligence, and machine learning technologies, Socure leverages vast online and offline data intelligence including email, phone, address, IP, and device information to verify identities in real-time. Their solutions address challenges in onboarding, login authentication, account takeover prevention, and contact center operations. Socure's AI-powered platform excels in combating identity fraud, ensuring compliance, and enhancing user experiences across various industries such as financial services, eCommerce, online gaming, and crypto.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
🔐 Security
💸 Finance
💰 $450M Series E on 2021-11
• Lead architecture and development of high-performance, cloud-native Entity Resolution APIs. • Design and implement batch and streaming data pipelines using tools like Kafka, SQS, and Spark to build and update the underlying search index. • Build and maintain low-latency search APIs powered by ElasticSearch or Vespa to support real-time entity linking. • Collaborate with data scientists to integrate and deploy ranking models to improve search result quality. • Own the end-to-end lifecycle of applications deployed on Kubernetes, from development and CI/CD to monitoring and scaling. • Conduct performance tuning and debugging of search systems under high throughput and low-latency requirements. • Develop tools and metrics to benchmark search quality and system performance. • Partner with cross-functional teams in data science, infrastructure, and product to deliver reliable, scalable solutions. • Lead design discussions and planning for backend services that incorporate model inference, SQL/NoSQL and Graph databases.
• 8+ years of backend software engineering experience, with 1+ years in a staff/principal-level role. • Expertise in search technologies like ElasticSearch or Vespa, including deployment, tuning, and query optimization. • Strong cloud-native experience, especially with AWS services like S3, SQS, Lambda, and Kafka. • Proven ability to design, build, and maintain distributed systems handling high-volume data streams and real-time requirements. • Deep knowledge of Kubernetes-based application development and deployment. • Strong proficiency in one or more backend programming languages (Java, Scala, Go, Python, etc.). • Experience benchmarking and deploying machine learning models (ranking, reranking, classification) into production search pipelines. • Familiarity with SQL/NoSQL and Graph databases. • Eligibility to work in the United States indefinitely without visa sponsorship. • Candidates residing in Hawaii, Mississippi, New Mexico, West Virginia, or Wyoming cannot be hired.
• Offers Equity • Offers Bonus • Comprehensive benefits • Annual discretionary performance bonus or commission plan • Market competitive salary • Remote work (USA)
Apply NowSeptember 28
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