Senior Software Engineer - Backend (DocV)
- Compensation
- $180K–$200K / yr
- Location
- Remote - USA
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Backend
- Posted
Skills
Must have
- 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 environmen
- 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 R
- Scalable systems expertise: Experience building scalable, high-availability microservices and RESTful APIs that can handle large volumes of transactions . Familiarity with designing for fault toleranc
- Performance & security: Solid understanding of performance optimization and backend security best practices, especially when processing sensitive data (PII). Ability to profile services, optimize data
- Team collaboration: Proven ability to collaborate effectively with cross-functional teams including frontend engineers, data scientists, and product stakeholders. Excellent communication skills to art
Nice to have
- 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 docume
- 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 int
- 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 p
Full 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.