We're building Cyber Threat Intelligence platform – an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration – exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
:Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers – dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics – when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration – exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
:Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers – dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics – when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.
Requirements:
5+ years of backend development experience, primarily in Python.
Experience building and operating data pipelines, data lakes, or large-scale data infrastructure.
Strong data modeling skills – you think carefully about how data is structured, accessed, and flows through systems.
Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services).
Familiarity with microservices architecture and tooling (Docker, Kubernetes).
Experience with NoSQL databases.
Track record of bootstrapping projects and building systems from scratch.
High independence – you thrive with autonomy and ownership in ambiguous environments.
Advantages:
Experience building infrastructure projects or internal platforms.
Background in developer experience (DevEx) initiatives or tooling.
Data management at scale – ETL, data quality, governance.
Experience in cybersecurity, threat intelligence, or related domains.
Familiarity with AI/agentic application patterns and how they consume data.
Experience with graph databases.
Networking knowledge (protocols, flows, traffic analysis).
Startup or small-team experience.
5+ years of backend development experience, primarily in Python.
Experience building and operating data pipelines, data lakes, or large-scale data infrastructure.
Strong data modeling skills – you think carefully about how data is structured, accessed, and flows through systems.
Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services).
Familiarity with microservices architecture and tooling (Docker, Kubernetes).
Experience with NoSQL databases.
Track record of bootstrapping projects and building systems from scratch.
High independence – you thrive with autonomy and ownership in ambiguous environments.
Advantages:
Experience building infrastructure projects or internal platforms.
Background in developer experience (DevEx) initiatives or tooling.
Data management at scale – ETL, data quality, governance.
Experience in cybersecurity, threat intelligence, or related domains.
Familiarity with AI/agentic application patterns and how they consume data.
Experience with graph databases.
Networking knowledge (protocols, flows, traffic analysis).
Startup or small-team experience.
This position is open to all candidates.
