Senior Backend Engineer, ML & Model Serving Architect

Jumio

United States

Remote

USD 140,000 - 230,000

Full time

12 days ago

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Job summary

Jumio is seeking a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You will collaborate with ML Engineers, Platform, and Product teams to build scalable, reliable systems and steer technical direction across multiple teams.

You will design long-term backend architecture for biometrics and ML model serving, mentor engineers, and drive architectural decisions while ensuring robust CI/CD and production

Qualifications

  • Strong backend development expertise in Java.
  • Working knowledge of Python for ML workflows.
  • Experience mentoring engineers and driving architectural decisions.
  • Hands-on AWS experience (DynamoDB, ECS, EC2, Redis, S3, SageMaker).
  • Familiarity with Terraform or similar IaC, CI/CD, and production monitoring.

Responsibilities

  • Design and drive long-term architecture of backend services for biometrics and ML model serving.
  • Collaborate with core platform and backend teams on architectural initiatives.
  • Partner with business and engineering teams to design 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.

Skills

Java
Python
Mentoring
Architectural decisions
CI/CD
Observability
Distributed systems
ML workflows

Tools

AWS
Terraform
Docker
Kubernetes
SageMaker

Job description

Jumio is seeking a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You will collaborate with ML Engineers, Platform, and Product teams to build scalable, reliable systems and steer technical direction across multiple teams.

You will design long-term backend architecture for biometrics and ML model serving, mentor engineers, and drive architectural decisions while ensuring robust CI/CD and production

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