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Remote, popular backend title with metro hiring and broad cloud/ML skills increases candidate competition.
Requires ML model-serving and biometrics domain expertise, limiting cross-industry transferability.
Multiple mandatory tech stacks and production ML-serving experience required, indicating strict hiring filters.
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Lead design and evolution of scalable backend services for deploying and serving biometrics-related machine learning models.
Collaborate across ML, platform, and product teams to drive architecture and deliver cross-cutting platform capabilities.
Oversee service reliability, performance monitoring, and deployment operations on AWS with container orchestration and CI/CD pipelines.
Strong backend development experience with Java; working knowledge of Python, especially for ML workflows.
Hands-on experience with AWS services (DynamoDB, ECS, EC2, S3, SageMaker) and container orchestration (Docker, ECS, Kubernetes).
Experience with infrastructure-as-code tools (e.g., Terraform), CI/CD, production monitoring, and observability tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading architectural decisions and mentoring engineers in backend and ML model serving environments.
Familiar with ML model deployment concepts, real-time and batch inference workflows, and production ML systems.
Operates well in cross-functional settings driving platform capabilities and collaborating with various technical teams.