Software Engineer I - Federated Intelligence Platform

Overview

Software Engineer I (Federated Intelligence Platform) to design and maintain high-volume ingestion and low-latency services for a federated intelligence layer within an AI-native security platform.

What you'll do

• Implement and ship well-scoped features with senior engineering collaboration.
• Own smaller components end-to-end across requirements, coding, testing, and rollout.
• Improve reliability and performance by fixing bugs and addressing bottlenecks.
• Participate in operational work such as debugging help and runbook improvements.
• Coordinate with partner teams to understand upstream/downstream interactions.
• Contribute documentation and knowledge sharing via comments, docs, and runbooks.

What you'll need

• 1+ years of professional software engineering experience (or equivalent).
• Solid programming skills in at least one modern language (Python, Go, TypeScript/JavaScript, or similar).
• Software engineering fundamentals (data structures, algorithms, clean/testable code, debugging, version control).
• Practical experience with relational or NoSQL storage and schema design.
• Cloud infrastructure and container orchestration knowledge using AWS, Docker, or Kubernetes.
• Foundational knowledge of high-scale event-driven architectures and message queuing.
• Clear communication skills for a remote, distributed team environment.

Nice to have

• Experience with distributed systems, high-throughput pipelines, or large-scale data stores.
• Familiarity with Airflow or equivalent workflow orchestration tools.
• Production observability experience using Grafana or Prometheus and on-call rotation exposure.
• Comfort using AI-augmented development workflows and engineering toolsets.
• Background in security/threat detection or large-scale messaging systems.