
Senior Software Engineer - Backend (DocV) at Socure (United States)
Socure· United States· $180k–$200k·
Role details
Equity · Bonus
Socure at a glance
AI-powered platform for digital identity verification, fraud prevention, and risk decisioning, used by enterprises and government agencies to verify consumers, businesses, and employees.
Socure runs RiskOS, a single AI-native decisioning platform that verifies identities and scores fraud, risk and compliance across the customer journey (onboarding, login, payments, account changes). It combines a large identity graph with fraud, biometric, device and behavioral signals so customers can approve more legitimate users while blocking fraud in real time.
$650M raised · latest: Series E · $450M · 2021 · backed by Accel, T. Rowe Price, Tiger Global, Bain Capital Ventures
Summary
Build and refine critical server-side components for identity verification, including microservices and APIs for document capture and processing. Integrate machine learning models for fraud detection and optimize system performance, security, and scalability in a cloud environment.
Job description
Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
As a Senior Backend Engineer on the Document Verification (DocV) team, you’ll build and refine the critical server-side components that enable identity verification at scale. This includes developing the core microservices and APIs that drive document capture, processing, and verification workflows – including integration with machine learning models for ID authenticity and fraud detection. Your work will ensure millions of users can verify their identities seamlessly on our platform, reinforcing Socure’s reputation for trustworthiness, speed, and security.
Responsibilities
- Develop and maintain scalable backend services: Build and maintain robust, scalable, and secure backend services and APIs for identity document processing and verification . Ensure these services are reliable and performant to handle high-volume identity verification requests.
- Cross-functional collaboration: Collaborate with Product, Data Science/Machine Learning, and Infrastructure teams to design and implement new document verification features in an agile environment . Work together to translate product requirements and ML model outputs into efficient backend solutions.
- Improve code quality and practices: Drive improvements in code quality, testing coverage, performance optimization, security, and CI/CD practices for the DocV backend systems. Champion best practices in coding, code review, and deployment to enhance reliability and maintainability.
- Own backend architecture: Own backend architecture decisions and advocate for best practices in API design, microservice architecture, and secure data handling across the team. Ensure the system is designed for scalability, resilience, and ease of integration with other Socure services.
- Optimize performance and reliability: Analyze production metrics and real-world usage data to continuously refine system performance, reliability, and scalability. Proactively identify bottlenecks or failure points and drive initiatives to optimize response times and uptime.
- Integrate ML/CV capabilities: Contribute to the integration of machine learning and computer vision components into the DocV backend pipeline, ensuring smooth deployment of document verification models and algorithms . Work closely with data scientists to incorporate model outputs (e.g. OCR results, face match scores) into backend decisioning logic.
- Collaborate with frontend/mobile teams: Work closely with frontend and mobile engineers to define clear API contracts and ensure a seamless end-to-end user experience across web and mobile SDKs. Provide support and guidance to client-side teams in using backend services effectively and debug integration issues when necessary.
Qualifications
- Experience: 5+ years of experience building and shipping modern backend services or distributed systems at scale. Proven track record of delivering production backend software in fast-paced environments.
- Programming skills: Advanced proficiency in backend programming languages (e.g.,GoLang, Java, Scala) and frameworks for building APIs and microservices . Hands-on experience with developing gRPC and RESTful APIs and server-side business logic.
- Scalable systems expertise: Experience building scalable, high-availability microservices and RESTful APIs that can handle large volumes of transactions . Familiarity with designing for fault tolerance and low latency in a cloud environment.
- Performance & security: Solid understanding of performance optimization and backend security best practices, especially when processing sensitive data (PII). Ability to profile services, optimize database queries, and implement measures to secure data in transit and at rest.
- Team collaboration: Proven ability to collaborate effectively with cross-functional teams including frontend engineers, data scientists, and product stakeholders. Excellent communication skills to articulate technical concepts and requirements across disciplines.
Preferred Qualifications
- Domain knowledge: Experience with identity verification, fraud prevention, or related domains (e.g. Document Verification, Device Risk, Identity Verification) is a strong plus. Familiarity with document verification workflows or fraud risk scoring will help you hit the ground running.
- ML/CV integration: Familiarity with computer vision or machine learning techniques in the context of document verification (e.g., OCR, face matching). Experience deploying or integrating ML models into backend services is a plus .
- Cloud and data processing: Knowledge of AWS cloud platform (Experience with GCP is a plus) and container orchestration (Docker/Kubernetes) for deploying services. Familiarity with streaming and data processing frameworks (e.g., Kafka, Spark) for building high-volume data pipelines is a plus .
Continuous improvement: Passion for continuous improvement in backend architecture, code quality, and engineering best practices. Enthusiasm for evaluating new technologies and techniques to enhance the DocV platform’s performance and reliability. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Why work at Socure
- Remote-First Culture: Socure is a remote-first company with talent hubs in San Francisco, Seattle, New York, Washington DC, Miami, London, Chennai, Bangalore, and Hyderabad. Employees have flexibility and autonomy.
- High-Impact Work: The company tackles hard problems in digital identity and fraud, which are central to trust in the digital world. The culture emphasizes high performance and purpose.
- Benefits:
- Market-competitive base salary and performance bonuses.
- Equity for all full-time employees.
- Comprehensive medical, dental, and vision insurance.
- Mental health support.
- 401(k) with company match.
- Flexible PTO and generous paid parental leave.
- Professional development stipend.
- Work-from-home stipend and Deskpass access for coworking.
- Hackathons to fuel innovation.
- Growth & Development: Internal mobility and career pathing opportunities, access to the latest technology.
- Team Size: Approximately 386 total employees (per Built In), with 100 open positions signaling strong growth.