Fraud Tech Lead Software Engineer - Cloud - JPMorganChase

Key Responsibilities

• Architect and develop fraud detection services in a cloud-native environment, leveraging AWS, Kubernetes, and microservices.
• Lead a cross‑functional agile team to deliver high‑quality, secure code that scales to millions of transactions per day.
• Integrate machine‑learning models for real‑time fraud scoring and anomaly detection, ensuring low latency and high accuracy.
• Collaborate with data scientists, product managers, and security teams to define requirements and prioritize features.
• Implement CI/CD pipelines, automated testing, and observability solutions to maintain reliability and rapid deployment cycles.

Requirements

• 5+ years of software engineering experience with a strong background in Python and Java.
• Proven expertise in AWS services (Lambda, SQS, DynamoDB, SageMaker) and container orchestration with Kubernetes.
• Hands‑on experience building and deploying machine‑learning models in production.
• Solid understanding of secure coding practices, data privacy, and compliance standards.
• Excellent communication skills and a track record of mentoring junior engineers.