• Work on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomous driving tasks. • Collaborate with ML (Machine Learning) infrastructure teams and contribute to workflows for continuous learning through iterative mining, error analysis, training and deployment. • Research and develop methods for extracting uncertainty and informativeness indicators to automatically mine for challenging scenes and analyze model performance. • Provide statistical depth and insights on model uncertainty, generalization and robustness. • Conduct deep learning experiments and write technical reports. • Provide guidance to junior researchers on research projects and design document reviews. • May work remotely from any U.S. state.

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.) • Designing safe upgrade and rollout strategies at scale • Improving observability, automation, and operational ergonomics • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc. • Serving as a primary escalation point and on-call for relevant incidents • Owning the relationship with all system vendors, including WarpStream Labs and others.

Role Description 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. - 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. Qualifications - 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. Requirements - 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. Benefits - Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success. - Remote-first environment - giving you flexibility and autonomy in how you structure your day. - While we work flexibly, we prioritize meaningful in-person moments through regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success. - Unlimited Paid Time Off (PTO). - Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! - Best-in-class Health Savings Account (HSA) employer contribution. - Low-cost vision and dental plans for you and your family, providing comprehensive coverage and peace of mind. - Paid Parental Leave - Including birth, adoptive & foster parents. - One year of diaper delivery for your newest addition to the family! - Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work. - Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs. - Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education.

• Lead and develop two engineering teams, working closely with Product, Design, and Data. • Ensure teams deliver with quality, speed, and alignment with business objectives. • Foster a high-performance environment focused on ownership, collaboration, and continuous improvement. • Develop and support the growth of team members through frequent feedback and development plans. • Ensure alignment and efficient communication across squads and stakeholders. • Track and evolve engineering metrics (quality, performance, productivity). • Contribute to tribe-level strategic decisions, connecting technology with business impact.