Socure
201-500 employees
Information Technology and Services
Identity Verification
Fraud Detection
Financial Services
About Socure
Socure is a leading provider of AI-driven identity verification and fraud prevention solutions. Founded in 2012, the company leverages machine learning and artificial intelligence to deliver highly accurate digital identity verification services that help businesses reduce fraud and comply with regulatory requirements. Socure's platform integrates data from multiple sources, including social media, device intelligence, and government records, to provide real-time identity risk assessments. Serving industries such as financial services, healthcare, and e-commerce, Socure aims to enable secure and seamless customer onboarding while minimizing fraud losses.
3 months ago
Senior Software Engineer
Carson City, Nevada - Remote
Full-time
Senior
Senior Software Engineer
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Description
- 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.
- As a Senior Software Engineer on Socure’s AI Platform team, you’ll design and build infrastructure that supports model training, validation, deployment, and serving at scale. You will work with modern AWS-native technologies, focusing on low-latency microservices, automated pipelines, and robust deployment workflows to enable safe and efficient delivery of machine learning models into production.
- This role is ideal for someone who enjoys building platforms and tools that abstract complexity for ML and data science teams, and who thrives in fast-paced environments where engineering excellence and reliability are paramount.
- Responsibilities include building scalable systems, designing low-latency inference systems with Amazon SageMaker, implementing deployment strategies, creating CI/CD pipelines, monitoring system health, developing internal tools, collaborating with ML teams, participating in code reviews, and continuously improving deployment processes.
- Qualifications include 4+ years of software engineering experience, at least 2 years in low latency/high availability systems, a degree in CS/Data Science/AI/ML, strong programming skills in Python, familiarity with Go/Rust, experience with model systems and MLOps best practices, and knowledge of ML frameworks and database technologies.
- Preferred qualifications include experience with internal ML platform services, model optimization techniques, feature stores, real-time feature serving, and deploying ML models in mission-critical environments.
- Note: Socure cannot provide sponsorship now or in the future. Socure is an equal opportunity employer valuing diversity.
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Requirements
- 4+ years of experience as a software engineer, with at least 2 years focused on low latency and highly available backend systems.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field with a strong academic record.
- Strong fundamentals in data structures, algorithms, and distributed computing principles.
- Strong analytical and problem-solving skills, with a passion for AI and machine learning.
- Strong programming skills in Python; familiarity with Go/Rust is a plus.
- Hands-on experience with model systems including low latency model serving, registry, and pipeline orchestration (preferably SageMaker).
- Solid understanding of MLOps best practices, including model versioning, testing, deployment, and reproducibility.
- Experience building and maintaining CI/CD pipelines for ML workflows.
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift).
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Benefits
- Competitive salary in the range of $180,000 to $200,000 per year.
- Remote work/telecommuting option.
- Opportunity to work on cutting-edge AI/ML infrastructure.
- Collaborative and innovative work environment.
- Access to AWS-native technologies and modern cloud infrastructure.
- Participation in code reviews and platform development discussions.
- Continuous improvement of deployment reliability, speed, and usability.