Senior Software Engineer - Backend (DocV)
Socure is hiring a Senior Software Engineer - Backend (DocV) for a remote role open to applicants in United States. It pays $180k-$200k a year and Level rates it ; you can apply on Socure.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The listed pay starts 7% above the typical software engineer posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include computer vision.
- Level lists 82 other open roles at Socure.
AI in this role
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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How we rate this
Senior Software Engineer - Backend (DocV) at Socure rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $180k
- Typical software engineer job
- $168k
This posting starts 7% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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