You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of HUMAN's real-time detection platform. You'll own services end-to-end, from architecture and implementation to deployment and reliability, including full-stack instrumentation for monitoring, alerting, and tracing. You'll implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams. You'll build and operate services in a Kubernetes environment using a modern GitOps stack, ensuring robust rollout strategies and safe migrations. You'll leverage AI assistants and agents to accelerate your development lifecycle, partner with adjacent teams on end-to-end flows, and contribute to technical design and code reviews.
Responsibilities
- Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets
- Own services from architecture and implementation to deployment and reliability
- Implement full-stack instrumentation including monitoring, alerting, and tracing to detect and mitigate production issues
- Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform
- Build and operate services in a Kubernetes environment using a modern GitOps stack
- Ensure robust rollout strategies and safe migrations
- Leverage AI assistants and agents to accelerate architectural scaffolding, automated tasks, and debugging/testing
- Partner with adjacent teams to design end-to-end flows balancing security, performance, and customer experience
- Contribute to technical design reviews and code reviews
Requirements
- 5+ years of experience building backend services with a strong grasp of modern distributed systems design
- High proficiency in at least one backend language such as Go, Java, or Scala, including concurrency and multithreading concepts
- Proven experience building and operating production systems in a major cloud provider (GCP or similar), including containerized workloads and CI/CD pipelines
- Hands-on experience with datastores and messaging systems (e.g., MongoDB, Redis, Kafka, or Postgres)
- Solid understanding of networking fundamentals, HTTP-based services, and best practices for secure, reliable APIs
- Practical experience with monitoring tools (e.g., Prometheus, Grafana, Opsgenie) and resolving complex, distributed production issues
- Comfortable working both independently on complex technical problems and as part of a collaborative team
Benefits
- Well-being and learning stipends
- Flexible work options
- Dedicated time off