Backend Engineer (Senior Level) - SDE IV
We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams.
What Youll Do
- Design and drive the long-term architecture of backend services for biometrics and ML model serving.
- Collaborate with core platform and backend teams on organization-wide architectural initiatives.
- Partner with business and engineering teams to design and deliver cross-cutting platform capabilities.
- Lead architectural reviews, mentor engineers, and promote engineering best practices.
- Build and maintain backend services for deploying and serving ML models
- Monitor service reliability, performance, and scalability in production
- Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes
- Support real-time and batch inference workflows
- Contribute to CI/CD pipelines and deployment automation
What Were Looking For
- Strong expertise in backend development using Java and working knowledge of Python.
- Experience mentoring engineers and driving architectural decisions.
- Working knowledge of Python, especially for ML-related workflows
- Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker)
- Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring
- Experience with observability tools (Datadog, New Relic, etc.)
- Experience with containers and orchestration (Docker, ECS, etc.)
- Understanding of how ML models are deployed and served in production
- Experience with Kubernetes
Nice to Have
- Experience with MLOps or ML platform engineering.
- Experience with asynchronous programming and event-driven systems.
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