Senior Software Engineer (Authentication)

Pindrop is an identity trust platform company that provides real-time identity verification and deepfake detection across voice, video, and digital interactions. The Senior Software Engineer on the Authentication team will build and scale secure, reliable cloud services and APIs supporting voice-based identity verification, while integrating AI/ML capabilities and contributing to architecture, observability, production operations, and fraud prevention.

Responsibilities:

• 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
• 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
• 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
• 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
• 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
• Use observability and diagnostics tooling (metrics, logging, tracing, dashboards) to troubleshoot production issues, reduce alert noise, and systematically improve reliability and latency for authentication journeys
• Partner closely with software engineering, test engineering, research, product, Protect, Passport, and Core teams to deliver new capabilities and improve existing ones, including AI‑enhanced identity and fraud experiences for customers
• Participate in the team’s on‑call rotation, including helping cover after‑hours alerts as we expand distributed support coverage for our customer‑facing authentication platform
• Contribute to documentation, runbooks, and design reviews that clarify how authentication services behave, how AI/ML components are used safely, and how other engineers should integrate with the platform

Requirements:

• • 5-7+ years of professional software development experience building backend services and APIs
• • Strong experience with Go, Python, or similar languages, plus a solid foundation in data structures, algorithms, concurrency, and Linux-based development
• • Hands-on experience designing and operating cloud-native systems in AWS or GCP, including managed services such as S3, DynamoDB, Kinesis, and IAM
• • Experience with CI/CD, DevOps, Docker, Kubernetes, and production ownership, including deploying, monitoring, troubleshooting, and supporting services in live environments
• • Experience with backend data stores and messaging technologies such as Redis, MySQL, RabbitMQ, and Elasticsearch
• • Experience in authentication, identity, fraud prevention, or other security-sensitive product environments
• • Experience with observability tooling and production diagnostics across metrics, logging, and tracing
• • Exposure to UI work or adjacent product experiences that connect backend systems to customer-facing workflows