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.
Jumio - Software Development Engineer IV - Backend Technologies • Delhi, IN