• Anywhere

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 landed on the Forbes Fintech 50 in 2023 and 2024. 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.

Role:

As a Software Engineer on the Data Platform team at SentiLink, you will own the data infrastructure components to support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You are passionate about solving complex problems, have outstanding programming skills and can pick up new technologies quickly as we evolve. Ideally, you have experience and proficiency in our tech stack.

Technologies: python, golang, postgreSQL (RDS), Redshift, Datalake, EMR, Spark, docker, AWS technologies

This is a remote, US-based role.

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

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
Bonus points if you have—
Experience working with Big data / Streaming technologies (Spark, Hadoop, Flink , Kafka, etc.)
Developed and deployed containerized microservices using Kubernetes or similar tech stack
Worked with AWS technologies such as EKS, sqs/sns, emr, redshift, s3, etc.
Experience with Infrastructure-as-code (IAC) such as terraform, CloudFormation, etc.
Fintech or Fraud domain experience

Candidates must be legally authorized to work in the United States and must live in the United States

Salary Range:

$130,000/year – $150,000/year

Perks:

Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!

Corporate Values:

Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart

Originally posted on Himalayas

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