Radiant Security is building the most advanced AI SOC platform, featuring unbounded alert triage, investigation, and response for security teams at scale. Our platform ingests alerts from across an organization's entire security stack (SIEM, EDR, identity, cloud) and uses AI to triage, investigate, and surface what actually matters. We're replacing alert fatigue with clear signal, so analysts can focus on real threats.
We're a small, fast-moving team. We ship continuously, stay close to customers, and hold ourselves to a high standard. Our product touches the daily workflows of security teams, and decisions we make have a direct impact on how quickly threats get resolved.
Join us and boost your career with hands-on AI experience.
As a Staff Software Engineer at Radiant Security, you’ll own the full lifecycle of customer security telemetry — from ingestion to storage in our data lake.
When customers face active incidents, our ingestion pipeline is mission-critical. Reliability and operational excellence here are product requirements, not just engineering ideals.
You’ll drive the scalability and reliability of our ingestion infrastructure, define the architecture of our data lake, and establish the DevOps practices that allow a lean team to evolve safely over time.
- Own and scale our ingestion platform end-to-end
Design and operate high-throughput ingestion pipelines with zero-downtime deployment patterns (dual-write, backfills, safe rollback), ensuring resilience under real-world failure modes (backpressure under load spikes, delivery guarantees, DLQs, replay mechanisms) and enforcing strict tenant isolation (per-tenant rate limiting, noisy neighbor prevention, storage partitioning across pipeline and lake layers) - Define and evolve our data lake architecture
Own storage layout, partitioning, schema design, and ensuring efficient high-throughput writes and reliable downstream consumption, while managing lifecycle (compaction, retention, cold storage, cost optimization) - Build and operationalize platform foundations
Develop deployment pipelines for stateful services, per-tenant quota systems, synthetic load testing, and monitoring that the broader engineering team depends on - Establish reliability standards and operate in production
Define and enforce SLOs (latency, durability, availability), including alerting, and incident response, while continuously improving observability and operational excellence - Drive technical leadership and platform strategy
Partner with product and engineering leadership to translate strategic goals into clear requirements and execution plans, while mentoring engineers, setting technical direction, and raising the bar on design, reliability, and operational excellence across the team
- Strong backend and data systems experience
Proven experience building and operating high-throughput ingestion systems in production, with strong backend programming skills (our stack uses Python, Golang, and Node.js) - Cloud, streaming, and data platform expertise
Experience with AWS, GCP, or Azure (S3, GCS, Data Lake), streaming systems (Kafka, Kinesis — including delivery semantics and consumer group management), and large-scale data lake design (partitioning, formats, lifecycle) - Production-grade infrastructure and reliability practices
Experience with zero-downtime migrations (dual-write, backfills, safe cutovers), Infrastructure as Code (Terraform, Pulumi), CI/CD (canary + rollback), and operating and monitoring data platforms in production (Prometheus, Grafana, Datadog), including SLO definition and incident response - Strong distributed systems and storage fundamentals
Fault tolerance, backpressure handling, graceful degradation, partition tolerance, plus experience with databases, object storage, and performance tuning for high-throughput workloads - Modern infrastructure stack experience
Containerization and orchestration (Docker, Kubernetes) for deploying and scaling stateful service
Application Review > People Screening > Hiring Manager Interview > Technical Interviews > Executive Interview
What We Do
Radiant Security is a SecOps platform that enables the SOC to leverage the power of AI to streamline and automate analyst workflows. This dramatically boosts SOC analyst productivity, detects significantly more real attacks by deeply investigating every incident, and drastically reduces response times. Radiant’s AI-powered SOC co-pilot automates alert triage and incident investigation to provide unlimited capacity and to detect more real attacks. Incidents are escalated to analysts decision ready— with a complete root cause analysis and full incident scope: including affected users, hosts, applications, etc., and data stitching to follow attacks across data types. Radiant automatically generates a response plan to address each identified security issue, which can be executed manually by analysts, interactively with one-click response actions, or in a fully automated mode. The result is highly accurate triage and investigation that can scale indefinitely to handle any volume of alerts
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