Senior Software Engineer – AI/ML Platform

About 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 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.


What You'll Do

• Build and maintain scalable systems and infrastructure for deploying and serving ML models.
• Design low-latency, fault-tolerant model inference systems using Amazon SageMaker.
• Implement safe deployment strategies like blue/green deployments and rollbacks.
• Create and manage CI/CD pipelines for ML workflows.
• Monitor model performance and system health using AWS observability tools (e.g., CloudWatch).
• Develop internal tools and APIs to help ML teams deploy and monitor models easily.
• Collaborate with ML engineers, data scientists, and DevOps to productionize new models.
• Participate in code reviews, system design, and platfo...