
Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
April 9, 2026
Full Job Description
📋 Description
- • As a Senior Software Engineer on SentiLink's Platform/Backend team, you will own and enhance a critical section of the codebase that powers the company's identity and risk verification APIs, directly contributing to scalable, secure, and high-performance systems used by financial institutions and beyond.
- • Day to day, you will design and build API-based decisioning products, write and maintain clean, tested code in Golang and Python, troubleshoot production issues, participate in on-call rotations, and collaborate with product, security, and engineering teams to drive agile delivery of features aligned with business goals.
- • SentiLink is a fast-growing fintech innovator backed by top-tier investors, recognized in the Forbes Fintech 50 annually since 2023, and trusted for its real-time identity verification solutions that have processed hundreds of millions of identities. The company operates as a digital-first organization with U.S. offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago, and engineering hubs in Gurugram and Bengaluru, India.
- • In this role, you will deepen your expertise in backend systems, API design, cloud infrastructure (AWS), and financial technology, while gaining leadership experience in guiding technical direction and mentoring peers through code reviews and architectural decisions.
Skills & Technologies
About SentiLink Corporation
SentiLink builds real-time identity verification and fraud prevention infrastructure for banks, fintechs, and government agencies. Its API-driven platform uses machine learning and authoritative data sources to spot synthetic identities, stolen identities, and other high-risk applications at account opening. The company also offers compliance tools for KYC, CIP, and CDD mandates. Headquartered in San Francisco and founded in 2017, SentiLink serves major U.S. lenders and card issuers, reducing fraud losses and manual review costs while improving onboarding speed and accuracy.
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