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SDE IV - (Biometrics)

2 months, 3 weeks ago
India
Senior
Backend Engineer
Software Development
AWS CI/CD Datadog Docker DynamoDB EC2 Java Kubernetes Machine Learning MLOps New Relic Python Redis SageMaker Terraform
Apply Now
Jumio

Jumio

Jumio is a leading digital identity verification platform that offers AI-driven services to verify the identities of new and existing users, assess risk, and help businesses meet compliance mandates. Their solutions include credit card payments validat...

IT Services
251-1K
Founded 2010
$205M raised
View All Jobs 7

Description

  • Design and drive the long-term architecture of backend services for biometrics and ML model serving.
  • Collaborate with core platform, backend, ML, and product 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.

Requirements

  • Strong expertise in backend development using Java and working knowledge of Python.
  • Experience mentoring engineers and driving architectural decisions.
  • Hands-on experience with AWS services such as DynamoDB, ECS, EC2, Redis, S3, and SageMaker.
  • Familiarity with Terraform or other infrastructure-as-code tools.
  • Experience with CI/CD and production monitoring.
  • Experience with observability tools such as Datadog or New Relic.
  • Experience with containers and orchestration tools such as Docker, ECS, or Kubernetes.
  • Understanding of how ML models are deployed and served in production.
  • Working knowledge of Python, especially for ML-related workflows.
  • Experience with MLOps or ML platform engineering is preferred.
  • Experience with asynchronous programming and event-driven systems is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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