SDE-3 Backend

Role Purpose

We're building trusted identity solutions powered by machine learning and biometrics. As a Backend Engineer, you will design and operate backend services that bring machine learning models into production. You’ll work closely with Machine Learning Engineers to transform models into scalable, reliable, and high-performance services running on AWS.

What You’ll Do
• Design, build, and maintain backend services for deploying and serving ML models in production
• Develop high-performance APIs and services in Java, with supporting components in Python
• Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 with Kubernetes
• Enable both real-time (low-latency) and batch inference workflows
• Ensure service reliability, scalability, and performance in production environments
• Implement and maintain CI/CD pipelines and deployment automation
• Monitor systems using observability tools and proactively resolve production issues
• Collaborate with ML engineers to optimize model serving and integration workflows

What We’re Looking For
• Strong backend engineering fundamentals with proficiency in Java
• Working knowledge of Python, especially in ML-related workflows
• Hands‑on experience with AWS services (ECS, EC2, DynamoDB, Redis, S3, SageMaker)
• Experience with containers and orchestration (Docker, ECS, Kubernetes)
• Familiarity with Terraform or other infrastructure‑as‑code tools
• Experience building and operating production systems with CI/CD and monitoring
• Experience with observability tools (Datadog, New Relic, or similar)
• Understanding of how ML models are deployed and served in production
• Strong problem‑solving skills and ability to work in a fast‑paced environment

Nice to Have
• Experience with asynchronous programming and concurrent systems
• Familiarity with MLOps or ML platform concepts
• Experience optimizing low-latency, high-throughput systems
• Exposure to model lifecycle management (training deployment monitoring)