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

JOB DESCRIPTION

As a Principal Software Engineer reporting directly to the SVP of Engineering, you will be a strategic asset across the entire engineering organization, including our high scale data ingestion and processing pipeline, our advanced workflow features, and our AI agents. You will work directly on company critical projects and act as a mentor and standard bearer for engineers throughout the organization.

• Develop and evangelize architectural best practices for operating maintainable, high scale systems and review designs and code to ensure those practices are being followed
• Mentor tech leads across various functional areas in developing non-functional requirements, performing code and architecture reviews, and communicating technical concepts at scale
• Establish operational rigor within engineering for monitoring, alerting, and responding to incidents
• Work directly with engineering teams to design, build, and operate key parts of Anvilogic’s infrastructure

Minimum Qualifications

• 12+ years of software development experience
• Excellent written and verbal communication skills
• Significant experience leading large scale, data heavy, company critical projects, through design, development, and operations
• Experience defining and evangelizing best practices around architecture, operations, and coding guidelines
• Experience mentoring senior engineers and tech leads in how to communicate technical topics at scale, define non-functional requirements, measure SLOs, and balance tech foundation and product timelines
• Ability to run openloop, maximizing engineering impact by balancing time spent on direct development, architectural and code review, and mentorship
• Ability to quickly come up to speed on our tech stack, which is a mix of python and java, deployed on AWS

Preferred Qualifications

• Experience working with large scale data lakes like Snowflake and Databricks or SIEMs like Splunk
• Experience deploying services using infrastructure-as-code (Terraform, AWS SAM, CloudFormation, or CDK).
• Experience with observability technologies like Grafana and Sentry
• Some experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks.
• Familiarity with security data (e.g., endpoint and network logs)

• US Salary Transparency: The base salary range for this full time position is $250,000-$280,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location.
• 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