Socure aims to eliminate identity fraud from the internet by verifying 100% of good identities in real time using predictive analytics and advanced machine learning. The Document Verification (DocV) product is critical in establishing trust in digital transactions by ensuring identity documents are authentic and accurate.
Requirements
- 8+ years of software development experience building and delivering complex, user-friendly applications. This should include at least 3+ years in a technical leadership role (Tech Lead or Engineering Manager) managing engineering teams.
- Proven experience leading full-stack engineering teams spanning backend services, data/ML pipelines, web frontends, and mobile applications.
- Strong hands-on background in backend development (e.g. building scalable APIs and microservices), including working with cloud infrastructure (AWS, GCP or similar) to support machine learning-driven applications.
- Proficiency in modern client-side technologies, including JavaScript/TypeScript and frameworks like React, as well as native mobile development (Swift for iOS and Kotlin for Android, or cross-platform frameworks like React Native).
- Demonstrated ability to lead large-scale projects end-to-end, coordinating across multidisciplinary teams such as Data Science/ML, DevOps/Infrastructure, Security, and Product.
- Hands-on experience with computer vision and machine learning models – from development to deployment – particularly in the context of image processing or ID verification.
- Deep knowledge of cloud platforms and tools. For example, expertise with AWS services, containerization and orchestration (Docker/Kubernetes), and observability stacks (logging/monitoring with tools like Datadog).
Responsibilities
- Lead and manage a team of 7–10 engineers (backend, frontend, and mobile), cultivating a collaborative, high-performance culture and ensuring clear accountability and growth for each team member.
- Drive the technical strategy and architectural decisions for the DocV product, ensuring solutions are built with modern technologies, scalable cloud infrastructure, and best practices in AI/ML and software design.
- Partner closely with cross-functional teams – including Product Management, Data Science/Machine Learning, Infrastructure, Security, and other engineering groups – to conceptualize and deliver new features and improvements in an agile environment.
- Collaborate with product and engineering leaders to define the Document Verification roadmap that aligns with business goals, and drive the execution of that roadmap.
- Mentor and coach junior and senior engineers, providing regular feedback and professional development opportunities.
- Set and uphold high standards for code quality, security, and performance. Oversee code reviews and enforcement of engineering best practices (CI/CD, testing, documentation).
- Encourage the team to explore new technologies and approaches (especially in AI, machine learning, and computer vision) to continuously improve the Document Verification product.
Other
- Lead and manage a team of 7–10 engineers, cultivating a collaborative, high-performance culture.
- Excellent communication and stakeholder management skills, with the ability to articulate complex engineering concepts in simple terms for various audiences.
- Proven ability to influence and align teams on architecture and technical decisions, driving consensus and guiding the team through change.
- Strong leadership track record with the ability to inspire and motivate engineering teams.
- Compensation Range: $210K - $230K
