Jumio - Software Development Engineer IV - (Biometrics)
Requirements
• 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 • Experience with MLOps or ML platform engineering. • Experience with asynchronous programming and event-driven systems. • Jumio Values: • IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation • Equal Opportunities: • Equal Opportunities • Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. • Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. • Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. • Applicant Data Privacy • We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [email protected].
Responsibilities
• 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
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