<div class="content-intro"><h3><strong>Who We Are</strong></h3><p><a href="https://himalayas.app/companies/pindrop">Pindrop</a> is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, <a href="https://himalayas.app/companies/pindrop">Pindrop</a> delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time.</p><p>Enterprises rely on <a href="https://himalayas.app/companies/pindrop">Pindrop</a> to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, <a href="https://himalayas.app/companies/pindrop">Pindrop</a> restores trust while reducing fraud, lowering operational costs, and improving customer experience.</p><p>Recognized by TIME as one of the Top 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, <a href="https://himalayas.app/companies/pindrop">Pindrop</a> is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG.</p></div><h3>What you'll do</h3><p>As a Senior Software Engineer on the Authentication team, you will help build and scale the cloud services behind Passport as the team continues moving customers onto its cloud platform. You’ll focus on highly reliable, secure authentication services that power voice-based identity verification at scale, while increasingly leveraging AI/ML-driven signals and tooling to strengthen fraud defenses and engineering productivity. More specifically, you will:</p><ul><li>Design, develop, test, deploy, and monitor high-performance backend services and APIs using Go and Python, with an emphasis on secure, low-latency authentication and identity workflows. </li><li>Build and maintain cloud‑native services across AWS and GCP (e.g., S3, DynamoDB, Kinesis, IAM) with a focus on reliability, scale, and secure production operation, including data pipelines that feed downstream ML and risk models used in authentication decisions. </li><li>Deliver features and enhancements through the full software development lifecycle, including implementation, automated testing, deployment, and operational support, using CI/CD and infrastructure‑as‑code practices. </li><li>Tackle complex software engineering problems in authentication, identity, and fraud prevention—contributing to architecture decisions, threat‑aware design, and continuous improvement of engineering best practices across the team. </li><li>Integrate and consume AI/ML capabilities (for example, model-backed risk scores, deepfake detection signals, or ML‑driven policies) by collaborating with Research, MLOps, and Protect/Passport teams, and help productionize these models into scalable, observable services. </li><li>Use observability and diagnostics to