About us

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.

The Role

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.

What you'll do

• 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

Things we're looking for

• 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

The process

Application Review > People Screening > Hiring Manager Interview > Technical Interviews > Executive Interview

About Radiant Security

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.

The Role

Cybersecurity generates more signal than any human team can process. The AI Engineer's job is to change that.

In this role, you'll build the agentic systems that turn overwhelming alert volume into clear, confident decisions — pipelines where AI agents collaborate, reason, and escalate the way the best analysts do, but at machine speed and scale. This isn't prompt experimentation in a notebook. You'll own the full lifecycle of production pipelines: the retrieval systems that surface the right context, the routing logic that sends data where it needs to go, the DAG that encodes the decision structure of a real security problem, and the agents themselves that reason over it all.

Every layer is yours. Every improvement is measurable. And the problems you're solving — faster triage, fewer missed threats, less analyst burnout — are ones that matter.

What you’ll do:

DAG Design & Pipeline Orchestration

• Design and implement the DAG-based pipeline architecture. Decompose complex cybersecurity workflows into well-scoped pipeline stages and define data contracts between them.

Context Retrieval & Data Routing

• Build the retrieval and enrichment systems that feed agents the context they need: structured lookups, vector search, tool calls, API integrations, or database queries. Design routing logic that directs incoming data to the appropriate pipeline entry point or agent branch. Ensure that every agent in the pipeline receives exactly the context it needs.

Agent Development & Prompt Engineering

• Design and build individual agents with well-scoped, production-ready prompts tailored to specific cybersecurity tasks (e.g., alert classification, entity extraction, severity scoring, false positive filtering). Apply systematic prompt optimization techniques, iterating based on measurable outcomes rather than intuition.

LLM Lifecycle Management

• Evaluate new or alternative LLMs using structured methodologies and project-specific metrics when a model substitution is warranted (e.g., upgraded model version, cost optimization, latency requirements).

Production Operations & Evaluation

• Monitor pipeline performance end-to-end in production — latency, accuracy, cost, failure modes, and per-stage quality — and drive continuous improvement across all layers. Build and curate labeled datasets from production telemetry for evaluation, regression testing, and fine-tuning purposes.

Things we’re looking for

Required Qualifications

• Strong programming skills in Python; 5 years of experience building and deploying production services end-to-end.
• Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and prompt engineering techniques.
• Experience designing and implementing DAG-based workflows or pipeline orchestration systems.
• Familiarity with data retrieval patterns: vector search, structured queries, API integrations, and context assembly for LLM consumption.
• Ability to work with unstructured or semi-structured data in a security or operational context.
• Clear written communication — pipeline design decisions, agent behavior, and experimental results should be well-documented.

Preferred Qualifications

• Background in cybersecurity, SOC operations, or threat intelligence.
• Experience with evaluation frameworks (e.g., RAGAS, LangSmith, custom harnesses).
• Familiarity with fine-tuning, RLHF, or model distillation workflows.
• Exposure to agentic frameworks (e.g., LangGraph, CrewAI, AutoGen, or custom implementations).
• Solid understanding of statistical testing and experimental design (A/B testing, significance testing, confidence intervals).

The process

We’re a startup and we make decisions quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit.

Application Review > Recruiter Screening > Hiring Manager Interview > Technical Interviews > Virtual Onsite

About Radiant Security

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.

The Role

The frontier of applied AI isn't in research labs — it's in production systems solving hard problems under real constraints. As a Staff AI Engineer, you'll be at that frontier, shaping how an entire AI engineering team builds, evaluates, and scales agentic technology in one of the most technically demanding domains there is: cybersecurity.

This role is for engineers who think in systems. You'll own the architecture that underpins every pipeline the team ships — defining how agents are designed, how data flows through complex DAGs, how models are evaluated and swapped, and how the whole system holds together under production load. But you'll also be the person other engineers turn to when a problem is novel, a design decision is hard, or a new capability needs to be pioneered.

The best technology decisions in this space haven't been made yet. You'll make them.

What you’ll do:

Architecture & System Design

• Own the end-to-end architecture of agentic pipelines: how agents are structured, how data flows between them, how pipelines are composed and versioned, and how the system scales under operational demand. Define the structural patterns for DAG-based agent orchestration. Drive decisions on LLM selection, tool use, retrieval-augmented generation, and memory/state management at the system level.

Technical Leadership & Cross-Team Influence

• Lead multi-engineer projects from technical scoping through delivery, coordinating across engineering, product, and security domain experts. Set best practices for prompt versioning, agent evaluation, dataset curation, and production monitoring. Identify and resolve systemic quality or reliability issues across the pipeline portfolio before they become production incidents.

Engineering Mentorship & Enablement

• Mentor AI Engineers on prompt optimization strategies, experimental rigor, and pipeline design patterns. Conduct design reviews and provide actionable, constructive technical feedback. Identify skill gaps across the team and contribute to hiring, onboarding, and growth planning. Foster a culture of empirical decision-making — every significant change is hypothesis-driven, measured, and documented.

Strategic Technology Guidance

• Stay ahead of the LLM and agentic AI landscape; assess emerging models, frameworks, and techniques for applicability to the team's roadmap. Partner with cybersecurity leadership to translate domain needs into technical requirements and influence the product roadmap.

Things we’re looking for

Required Qualifications

• Strong programming skills; 8+ years of experience building and deploying production services end-to-end.
• Extensive experience designing and shipping production AI/ML systems at scale.
• Deep expertise in LLM-based agent architectures, including multi-agent orchestration and complex pipeline design.
• Demonstrated ability to lead technical projects involving multiple engineers and cross-functional stakeholders.
• Strong command of evaluation methodologies: statistical testing, benchmarking, regression detection, and metric design.
• Excellent written and verbal communication — able to present complex technical decisions to both engineering and non-engineering audiences.
• Track record of raising the engineering bar on a team through mentorship, standards, and tooling.

Preferred Qualifications

• Domain experience in cybersecurity, threat detection, or security operations.
• Experience with large-scale data pipelines and MLOps/LLMOps infrastructure.
• Background in founding or significantly growing an AI engineering function.
• Published work, open-source contributions, or conference presentations in the AI/ML space.

The process

We’re a startup and we make decisions quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit.

Application Review > Recruiter Screening > Hiring Manager Interview > Technical Interviews > Virtual Onsite

About us

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.

The Role

As a Staff Software Engineer working on AI Triage, Investigation and Response, you will lead efforts to develop AI driven automations for Radiant customers.

What you’ll do

• Integrate the LLMs against hundreds of external data sources (terabytes per customer).
• Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).
• Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.
• Improve our Agentic AI services as well as the platform they run on:
  • Empower our Cybersecurity experts and researchers by improving the platform.
  • Automate on-boarding of new data sources, so they can been effortlessly integrated into the Agentic AI pipeline.
• Prototype and evaluate new AI features including Incident Investigation and Automated Response

Things we’re looking for

• An incredibly strong engineer with +8 years of experience building complex backend applications.
• Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.
• Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)
• Ability to roll up your sleeves and get things done.
• A great communicator and team player.

The process

We’re a startup and we make decisions quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit. 

Application Review > Recruiter Screening > Hiring Manager Interview > Technical Interviews > Virtual Onsite

About us

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.

This is a hybrid position in Brazil  and we are attending the office 3 times a week, which  is located in Vila Olimpia, São Paulo.

The Role

We are looking for an experienced Frontend Engineer with expertise in TypeScript, CSS and modern  UI frameworks  to help us build our user interfaces. The ideal candidate is passionate about designing exceptional user experiences and is capable of working closely with product, design and backend teams to deliver seamless web applications.

What you'll do

• Develop web-based user interfaces  in  TypeScript, React, Next.js and Tailwind CSS.
• Collaborate with the product and  design teams to ship user-friendly, aesthetically pleasing interfaces.
• Work closely with cross-functional teams to ensure consistency and alignment with backend and product requirements.

Things we’re looking for

• Bachelor's Degree
• 5+ years of experience in frontend development with multiple UI frameworks.
• Proven track record of delivering  visually appealing and intuitive user interfaces.
• Expertise in Typescript, CSS and Web Platform Standards overall.
• Experience working with  Design Systems  in Figma.
• Experience creating and maintaining UI Component libraries used across multiple teams.
• Strong understanding of Web Vitals and other  performance metrics.
• Strong understanding of  frontend testing frameworks and tools (e.g., Jest, Cypress, Playwright).
• Excellent communication and collaboration skills
• Strong English Skills

Benefits

• Health Insurance (Safety Wing)
• Stay Healthy subsidy (for gym and sports)
• Unlimited PTO (enjoy the holidays of your location)
• Parental leave
• Stock Options

About us

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.

This is a hybrid position in Brazil  and we are attending the office 3 times a week, which  is located in Vila Olimpia, São Paulo.

The Role

We are looking for a Frontend Engineer with experience in TypeScript, CSS and modern  UI frameworks  to help us build our user interfaces. The ideal candidate is passionate about designing exceptional user experiences and is capable of working closely with product, design and backend teams to deliver seamless web applications.

What you'll do

• Develop web-based user interfaces  in  TypeScript, React, Next.js and Tailwind CSS.
• Collaborate with the product and  design teams to ship user-friendly, aesthetically pleasing interfaces.
• Work closely with cross-functional teams to ensure consistency and alignment with backend and product requirements.

Things we’re looking for

• Bachelor's Degree
• 2+ years of experience in frontend development with any modern UI frameworks.
• Proven track record of delivering  visually appealing and intuitive user interfaces.
• Experience working with  Design Systems  in Figma,  Typescript, CSS.
• Strong understanding of Web Platform Standards and frameworks
• Familiarity with Web Vitals and other  performance metrics.
• Familiarity  with frontend testing frameworks and tools (e.g., Jest, Cypress, Playwright).
• Excellent communication and collaboration skills
• Strong English Skills

Benefits

• Health Insurance (Safety Wing)
• Stay Healthy subsidy (for gym and sports)
• Unlimited PTO (enjoy the holidays of your location)
• Parental leave
• Stock Options