SDE IV - (Biometrics)
Jumio
IndiaremotePosted 9 days ago
Skill Required
Backend-EngineeringSoftware-EngineerML-Platform-EngineeringMachine-Learning-EngineeringDevOps-EngineerBiometrics-EngineerBiometric-EngineeringBiometric-Security-EngineerBiometrics-ML-EngineerDeveloperSoftware EngineerSoftware DeveloperMachine LearningObservabilityCD pipelinesEngineeringR ProgrammingKubernetesautomationDatadogTerraformMLflowDynamoDBfintechetc.)PythonDockerdesignRedisCI/CDJavaAWSandCICDAIFulltime
Key highlights
- Senior Backend Engineer (SDE IV) role focused on ML model serving architecture.
- Primary responsibility is designing and driving long-term backend service architecture for biometrics and ML models.
- Required tech stack includes Java, Python, AWS services (ECS, Fargate, SageMaker, EC2, Kubernetes).
- Team collaboration involves ML Engineers, Platform, and Product teams.
- Key operational duty is monitoring service reliability, performance, and scalability in production.
- Supports real-time and batch inference workflows on AWS infrastructure.
Role overview
Backend Engineer (Senior Level) - SDE IV. We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams.
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.
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.
Nice to have
- Experience with MLOps or ML platform engineering.
- Experience with asynchronous programming and event-driven systems.
Additional details
- Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer.
- Jumio provides leading solutions for online identity verification, eKYC and AML across Financial Services, Travel, Sharing Economy, Fintech, Gaming, and other industries.
- The position emphasizes integrity, diversity, empowerment, accountability, and leading innovation.
- Applicant data privacy policy applies during recruitment and hiring processes.
- Originally posted on Himalayas.