Software Engineer
Data Platform
Posted on 3/29/2024
INACTIVE
SentiLink

51-200 employees

Identity verification technology to prevent financial fraud
Company Overview
SentiLink, a frontrunner in identity verification technology, offers top-tier solutions to financial institutions and fintechs, effectively combating synthetic fraud, identity theft, and first-party fraud. The company's team of dedicated Risk Analysts constantly review cases, leveraging human intelligence and expertise along with licensed and proprietary data to enhance their machine learning models, ensuring their products adapt to the ever-evolving fraud landscape. SentiLink's suite of products, trusted by leading financial institutions, offers real-time insights about identity, enabling businesses to provide superior services to their customers while minimizing fraud losses.
Financial Services
B2B

Company Stage

Series B

Total Funding

$84M

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

11%

1 year growth

25%

2 year growth

77%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Agile
Python
NoSQL
Data Science
Git
SQL
AWS
Go
JIRA
REST APIs
Development Operations (DevOps)
Google Cloud Platform
CategoriesNew
Backend Engineering
Software Engineering
Requirements
  • 2+ years of professional Software Engineering or Data Engineering experience
  • Proficient in one or more programming languages preferably python or golang
  • Experience building software in public cloud platforms such as AWS, Microsoft Azure, or GCP
  • Knowledge of database fundamentals and concepts (RDBMS/NoSQL) and experience with SQL
  • Experience building and delivering scalable and automated data ingestion or transformation pipelines (ETL/ELT)
  • Excellent analytical and problem solving skills, interpersonal skills, and a sense of humor (enjoy the journey)
  • Familiarity with Agile development methodologies and Devops practices (Git, CICD, Jira)
  • Comfortable working in a fast paced and complex technical environment
Responsibilities
  • Design, build, and maintain scalable data ingestion pipelines and data infrastructure that supports data science and product development
  • Build and support data driven services and interfaces optimized for scale availability and performance while ensuring integrity of data
  • Perform periodic maintenance of critical data infrastructure for optimal performance
  • Work with cross functional teams to drive agile delivery of both existing and new data driven products
  • Ensure data platform and services meet SLA and quality requirements; on call rotation for production issues, along with the rest of engineering
  • Develop functional subject matter expertise within various areas of identity fraud domain