
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
11 hours ago

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
• Architect and design scalable, resilient, and high-performance backend systems and platforms on AWS, with a strong focus on reliability, security, and cost efficiency. • Contribute hands-on to critical paths (design reviews, prototyping, code, performance tuning, debugging), typically 30% of your time, while creating leverage through mentoring and standards. • Lead technical initiatives across services and teams; drive design forums, set engineering guardrails, and ensure high-quality delivery through code reviews and automation. • Collaborate cross-functionally with Product, Design, Data Science, and Platform to shape scope, sequence milestones, and de-risk execution for iterative releases. • Own APIs and microservices design, including REST and event-driven patterns; uphold best practices for versioning, contracts, and backward compatibility. • Drive operational excellence: define SLOs, improve observability and alerting, harden on-call/runbooks, and lead incident response and post-mortems. • Solve complex problems in distributed systems (throughput, latency, consistency, data modeling) with a pragmatic approach to tradeoffs. • Document architectural decisions, service ownership, and operational runbooks to scale knowledge and ensure long-term maintainability. • Grow engineers with clear expectations, actionable feedback, and mentoring; hire and onboard diverse talent aligned to our culture of ownership and collaboration.
• 10+ years of professional software engineering experience, including ownership of large-scale backend systems in production. • 3+ years of technical leadership (Tech Lead or Manager) with hands-on delivery; demonstrated ability to lead complex, cross-team initiatives while writing/designing high-quality software. • 5+ years of experience with Golang (preferred) and/or Java; strong computer science fundamentals (data structures, concurrency, distributed systems). • Strong understanding with AWS cloud-native architectures and services (e.g., ECS/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns. • Strong understanding in microservices, APIs, and event-driven design; proficiency with containerization/orchestration (Docker, Kubernetes) • Strong operational mindset: observability, monitoring, incident response, performance engineering, and security best practices. • Strong understanding with CI/CD pipelines, automated testing strategies (unit, integration, e2e), and modern DevOps workflows; comfort with Git-based trunk/branch strategies. • Excellent communication, stakeholder management, and decision-making; ability to frame tradeoffs and drive alignment across engineering and product.
• Equal opportunity employer that values diversity in all its forms
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