Sr. Cloud Infrastructure Engineer
Serve RoboticsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote, US-based role.
The role involves Python, Aurora PostgreSQL, AWS infrastructure (EC2, S3, RDS, Redshift, etc.), Kubernetes, Docker, Terraform, CICD, observability tooling (e.g., Datadog, Prometheus, SumoLogic), OpenSearch, and Linux.
Responsibilities include constructing infrastructure as code, developing best practices for configurations, designing scalable DevOps and CI/CD pipelines, implementing monitoring tools, managing cloud identity and access, collaborating with SRE and security teams, and overseeing platform costs.
SentiLink provides innovative identity and risk solutions, is growing quickly with real-time APIs verifying hundreds of millions of identities, raised a $70M Series B, and has received awards and media coverage from TechCrunch, Forbes, and others.
A strong candidate is driven towards improving reliability and efficiency, has a bias towards secure solutions following engineering best practices, and experience with the listed technologies to work closely with Engineering, Data Science, and Analytics teams.
Machine learning solutions for identity fraud detection
SentiLink provides solutions to help financial institutions prevent identity fraud. Their main product uses machine learning models to detect fraudulent activities during the application process. By analyzing data and reviewing cases with a team of risk analysts, SentiLink offers insights that help clients make informed decisions about approving customers. What sets SentiLink apart from competitors is their ability to adapt their products to various types of fraud and customize them to meet the specific needs of each client. The goal of SentiLink is to enable financial institutions to minimize fraud losses while maintaining a positive customer experience.