COMPANY DESCRIPTION
Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies.
Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data.
Anvilogic raised funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams.
Learn about our customers:
ROLE DESCRIPTION
Join our established and collaborative team building critical product features that directly impact company revenue. We own and operate core services—including AI-driven workflows and multi-platform data querying—that are central to our success. This is a high-impact role where your work will be closely aligned with both product strategy and customer value.
- Write clean, maintainable, and well-tested code following engineering best practices.
- Collaborate across teams, including engineering, product, and data science, to define and deliver high-quality solutions.
- Contribute to system design, technical specifications, and architecture decisions.
- Monitor production systems, respond to alerts, and troubleshoot issues when they arise.
- Review pull requests and provide constructive feedback to uphold code quality standards.
- Take initiative being a technical leader on the team.
Minimum Qualifications
- 5+ years of software development experience with fluency in Python 3
- Excellent written and verbal communication skills
- Solid understanding of relational databases and ORM tools (e.g., SQLAlchemy)
- Hands-on experience building REST APIs using frameworks like Flask, FastAPI, or Django
- Experience in designing and building large systems (microservices, queues, schedules).
- Strong experience with test-driven development and writing functional/integration tests
- Familiarity with AWS services (Lambda, SQS, ECS, etc.)
- Familiarity with CI/CD practices and tools to support automated testing and deployment pipelines
Preferred Qualifications
- Experience working with Large Language Models (LLM), implementing standard patterns (RAG, Tools), and leveraging popular frameworks (LangGraph, Llama-index, Autogen)
- Experience deploying services using infrastructure-as-code tools (AWS SAM, CloudFormation)
- Experience querying datalakes or SIEMs (Snowflake, Databricks, Azure, Splunk, etc…)
- Background in cybersecurity or experience working with security operations teams
- Familiarity with security data (e.g., endpoint and network logs)
- Competitive salary with equity in the company
- Comprehensive medical, dental, and vision insurance
- Unlimited paid time off policy for work life balance
- 401(k) retirement plan with company match
- Monthly stipend for home internet and cell phone expenses
Top Skills
What We Do
No more legacy SIEM. Time for a Modern approach. Democratize security across your hybrid, multi-cloud, and other data lakes.
Anvilogic is an AI-Driven SOC platform for threat detection and incident response that helps to unify and automate security operations across people, processes, and technology enabling security teams to reduce the time, manual effort, complexity, and expertise needed for building detections and managing your overall security operations – through AI-driven recommendations and frameworks gain visibility into complex interactions across different systems and correlate seemingly unrelated events. Gain the ability to continuously assess, prioritize, detect, hunt, and triage to quickly mitigate risk.
Anvilogic was built by security practitioners for security practitioners and empowers security professionals at every level to take control of the backlog chaos, eliminate silos, and simplify complexities so they can focus on what matters.
