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Senior Software Engineer at Anvilogic Inc. 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 . $45M Series C. 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: . anvilogic.com/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). . Company Location: United States.