Senior Software Engineer

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November 20

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Anvilogic

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Cybersecurity • SaaS • Enterprise

Anvilogic is a cybersecurity company specializing in detection engineering and threat detection automation. Their platform enables security operations centers (SOCs) to streamline the detection engineering process by providing tools such as a multi-SIEM detection platform, AI-driven automation, and pre-built detection rules. Anvilogic helps organizations reduce SIEM costs, close critical detection gaps, and improve threat detection with real-time monitoring and automation of maintenance tasks. They offer integrations with data platforms like Splunk, Snowflake, and Microsoft Sentinel, allowing companies to enhance their threat detection capabilities effectively across multiple cloud environments.

51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 $25M Series B on 2022-07

📋 Description

• Write clean, maintainable, and well-tested code following engineering best practices. • Collaborate across teams, including engineering, product, qa, 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.

🎯 Requirements

• 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 (Agents, RAG, Tools), and leveraging popular frameworks. • - Experience deploying services using infrastructure-as-code (AWS SAM, CloudFormation, CDK). • - 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)

🏖️ Benefits

• US Salary Transparency: The base salary range for this full time position is $160,000-$190,000 + equity + benefits. Final compensation will depend on experience, qualifications, and location. • 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