Senior Backend Engineer, Socure

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field
• 5+ years of experience building and deploying machine learning systems in production
• Proficient in Java, or Go, with experience using production-grade ML frameworks
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar tools
• Strong understanding of AWS services including SageMaker, Glue, EMR, Lambda, and Step Functions
• Experience with orchestration tools such as Airflow or AWS Step Functions
• Deep understanding of MLOps concepts including deployment automation and experiment tracking
• Solid knowledge of data structures, algorithms, and distributed computing
• Strong problem-solving and communication skills

Desirable

• Socure is seeking a highly motivated and experienced Senior Backend Engineer to join our Digital Intelligence team. This role involves designing, developing, and scaling machine learning systems that extract risk and fraud insights from device and behavioral signals.
• You will play a key role in operationalizing ML workflows in both batch and real-time settings, collaborating with cross-functional teams to deliver high-impact, production-ready models
• This role is dedicated to the Digital Intelligence team and will support our engineers and data scientists by delivering scalable, high-quality ML infrastructure and operational tooling for modeling and inference
• Design and implement scalable ML pipelines for model training, inference, and evaluation
• Build and maintain systems for feature engineering, deployment, and monitoring
• Collaborate with data scientists to transform research prototypes into production-grade models
• Optimize ML systems for performance, scalability, and cost-efficiency
• Implement CI/CD and MLOps practices for model versioning, reproducibility, and monitoring
• Manage ML workflows and pipeline orchestration
• Partner with product, engineering, data science, and security teams to ensure compliant and reliable model delivery
• Document systems and processes for team use and compliance