Description:

Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies.
The company's mission is to democratize threat detection and hunting for SOC teams across hybrid, multi-clouds and security data lakes without needing to centralize data or replace tools.
Anvilogic invests in AI-powered automation of detection-as-code to enable SOC users to implement high-efficacy detection and hunting techniques without writing code or manually managing data.
The company raised $45M in Series C funding in April 2024 and is backed by top-tier VC firms and industry executives.
The AI-powered Multi-Data Platform SIEM is utilized by many advanced security teams.
The role involves building critical product features that impact company revenue, operating core services, and collaborating across teams to deliver high-quality solutions.
Responsibilities include writing clean and maintainable code, contributing to system design, monitoring production systems, reviewing pull requests, and taking initiative as a technical leader.

Requirements:

A minimum of 5 years of software development experience with fluency in Python 3 is required.
Excellent written and verbal communication skills are necessary.
A solid understanding of relational databases and ORM tools, such as SQLAlchemy, is essential.
Hands-on experience in building REST APIs using frameworks like Flask, FastAPI, or Django is required.
Experience in designing and building large systems, including microservices, queues, and schedules, is necessary.
Strong experience with test-driven development and writing functional/integration tests is required.
Familiarity with AWS services, including Lambda, SQS, and ECS, is essential.
Familiarity with CI/CD practices and tools to support automated testing and deployment pipelines is required.
Preferred qualifications include experience with Large Language Models (LLM) and implementing standard patterns, experience deploying services using infrastructure-as-code tools, and experience querying datalakes or SIEMs.
A background in cybersecurity or experience working with security operations teams is preferred.
Familiarity with security data, such as endpoint and network logs, is a plus.