Senior Cloud Data Infrastructure Engineer
ClickhouseFull Time
Senior (5 to 8 years)
Location Type: Remote Employment Type: Full-Time
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact confidently with one another. By building the future of identity verification in the United States and reinventing the currently clunky, ineffective, and expensive process, we believe strongly that the future will be 10x better. We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list consecutively since 2023. Last but not least, we’ve even been a part of history -- we were the first company to go live with the eCBSV and testified before the United States House of Representatives.
As a Senior Infrastructure Engineer, you’ll be responsible for the development of standards, processes, tooling, and systems that serve as the foundation of the SentiLink platform. We’re looking for someone driven towards improving the reliability and efficiency of our systems, services, and engineering teams. You will work closely with the Engineering, Data Science, and Analytics teams to understand their needs and pain points, and to build systems and tools to improve their velocity, reliability, efficiency, and visibility. The optimal candidate will have a bias towards secure solutions that follow engineering best practice.
Technologies: Python, Aurora PostgreSQL, AWS infrastructure (EC2, S3, RDS, Redshift, etc.), Kubernetes, Docker, Terraform, CICD, observability tooling (e.g., Datadog, Prometheus, SumoLogic), OpenSearch, and Linux.
This is a remote, US-based role.
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.