This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role offers the opportunity to design, build, and operate high-performance authentication systems that secure voice, video, and real-time interactions at scale. The Software Engineer - Authentication will work on distributed production systems, developing robust, reliable, and secure services that handle concurrency, out-of-order events, and real-time decisioning. You will implement and maintain model training and inference pipelines, automate workflows, and build observability into all layers of the system. This position requires close collaboration with cross-functional teams, including engineering, product, and operations, to deliver solutions that meet strict reliability, security, and performance standards. The role balances hands-on development with operational ownership, including participation in on-call rotations and production incident response. Ideal candidates thrive in a fast-paced environment, enjoy solving complex technical challenges, and take pride in designing systems for scalability and resilience.

• Design and implement authentication workflows, including model training, inference, and versioning with clear lineage and promotion criteria.
• Build and operate distributed, high-performance services and APIs for reliable and secure authentication at scale.
• Develop real-time scoring and decision services with bounded execution and robust error handling.
• Implement automated quality gates, data validation, and observability to ensure system reliability and correctness.
• Ship changes safely using staged rollouts, rollback readiness, and production monitoring.
• Participate in on-call rotations, lead incident response, and conduct post-incident reviews to improve service reliability.
• Collaborate across teams to define service responsibilities, interfaces, and data contracts, aligning on trade-offs and operational expectations.

Qualifications

• 3–5 years of software development experience with distributed systems.
• Experience designing and implementing highly scalable cloud-based APIs and services.
• Proficiency in multiple programming languages, such as Python and Go, with strong knowledge of data structures, algorithms, and concurrency.
• Experience with real-time distributed systems, resilient service patterns (backpressure, idempotency, retries, timeouts, circuit-breaking).
• Hands-on DevOps experience, including CI/CD pipelines, Kubernetes, Docker, Jenkins, GitHub Actions, and cloud services (AWS Kinesis, DynamoDB, S3).
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, logging, and tracing frameworks.
• Familiarity with production ML systems and MLOps, including model deployment, training pipelines, and monitoring, is a strong plus.
• Strong problem-solving, communication, and collaboration skills to work effectively across global and cross-functional teams.
• Linux proficiency and understanding of distributed system design, reliability, and operational best practices.

Benefits

• Competitive base salary range: $107,000 – $132,000 USD.
• Equity participation and long-term incentive programs.
• Unlimited Paid Time Off (PTO) and flexible remote-first work environment.
• Comprehensive health, dental, vision, life, and disability insurance plans.
• 401(k) retirement plan with competitive match.
• Monthly phone and internet allowances, plus one-time home office stipend.
• Paid parental leave, including support for birth, adoptive, and foster parents.
• Professional development, learning resources, and wellness programs.
• Choice of Apple MacBook Pro for development work and supportive, collaborative culture.