Data Pipeline Engineer

Join us at Anvilogic as we help our customers break free from SIEM vendor lock-in!  We enable security professionals to perform security analytics across multiple data platforms by decoupling their analytics from their data platform.  Our automation of common detection engineering tasks and advanced correlation search capabilities are augmented by AI/ML assistance to make security engineering for threat detection a much more pleasant experience.

Anvilogic is a well-funded, Series C security startup with a strong, growing customer base that loves our platform.

Why else do you want to work here?

• Opportunity to have real impact on our growth and strategy
• Early stage equity and competitive pay
• Real career growth as we expand
• Make the cyber world a safer place
• Have fun building something together

What can you do as a Data Pipeline Engineer?

• Build and deploy end-to-end data pipelines required for analytics within AWS, Azure, and Snowflake platforms.
• Participate in architecture; hands-on leadership of design and development of features for the Anvilogic Data Pipelines.
• Own data pipeline projects, drive them to completion and support them in production while ensuring optimal reliability and observability.
• Collaborate closely with detection engineering and threat hunting (ML-based and hunt analyst-based) teams to meet data requirements needs. 
• Design complex test cases for the system, working with the QA team.
• Mentor and guide other team members in monitoring and alerting best practices, ensuring the entire team is equipped to handle incidents effectively.
• Work closely with product management, engineering, and our partners to ensure we’re always working toward customer success.
• Be a hands-on and collaborative player within our teams.
• Work effectively within Anvilogic’s methodology and processes.

• An unyielding desire to build and automate secure, reliable, and scalable data pipeline solutions.
• Minimum 3 years of software development experience required with fluency in Python.
• Minimum 3 years of working with cloud services experience required, primarily within AWS or Azure.
• A bachelor’s degree or a compelling story.
• Experience with working with security data and SIEM technologies, preferred.
• Experience deploying, configuring, and engineering solutions for complex systems and applications.
• Experience with Infrastructure as Code tools (AWS CloudFormation, Azure ResourceManager) and CI/CD pipelines.
• Experience producing professional-quality documentation.
• Excellent written and verbal communication skills, both in groups and one-on-one interactions.