SHIELD is a device-first risk AI platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activities. SHIELD identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable risk intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney and more. With offices in San Francisco, Miami, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission – eliminating unfairness to enable trust for the world.
Responsibilities
As a Senior Infrastructure Engineer, you will be responsible for enhancing our current services and application architectures critical to support our cyber fraud and identity solutions. This role requires an extensive knowledge of security concepts and cloud technologies to develop high-performing, high-availability, scalable and efficient application patterns for the cloud. The ideal candidate should be a keen problem solver and a hands-on team player who is passionate about helping businesses stop fraud and abuse.
- Design and implement secure automation solutions for development, testing, and production environments.
- Configure, maintain, and support the infrastructure.
- Develop and maintain solutions for day-to-day operational administration, system/data backup, disaster recovery, and security/performance monitoring.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Create, maintain, and iterate on our CI/CD processes for new and existing services.
- Help increase system performance with a focus on high availability and scalability.
- Require periodic after-hours/weekend support.
- Troubleshooting, performs root cause analysis, and working closely with developers to implement corrective/preventive actions during and after an incident.
Requirements
- Minimum 5 years of relevant experience
- Minimum Bachelor Degree in Computer Science, Software Engineering or related field
- Extensive experience working within AWS and with its managed products like EC2, ECS, ECR, R53, SES, Elasticache, RDS, EKS, etc
- Experience with containerization and container orchestration services like Kubernetes
- Working knowledge of Linux OS and setting up monitoring/logging/tracing systems.
- Experience working with automation tooling such as Ansible/Jenkins
- Experience with setting up monitoring tools like Prometheus/Grafana/Pagerduty/CloudWatch
- Prior experience in e-payments or e-commerce industry is a plus
- AWS Associate/Professional certification will be an advantage
- Able to work in a fast-paced environment
