Software Engineer

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 Senior Software Engineer, Data at Anvilogic, you are responsible for designing, building, and operating our high scale data ingestion pipelines. You will work directly on company critical projects related to how our users’ data is brought into our data stores, normalized across different data stores, and exposed for analysis, using technologies such as AWS, Azure, Snowflake, Databricks, and Splunk.

Design, build, and operate data ingestion and normalization pipelines

Work with product management teams to map out non-functional requirements and implement those requirements in your services

Deploy and monitor resources in cloud and data lake providers

Spread knowledge of data pipeline best practices throughout Anvilogic through mentorship, documentation, and brown bag sessions

Minimum Qualifications

4+ years of software development experience

Excellent written and verbal communication skills

Experience with data lakes such as Snowflake or Databricks

Experience with cloud providers such as AWS, GCP, or Azure

Experience with defining non-functional requirements, measuring SLOs, and balancing tech foundation and product timelines

Ability to quickly come up to speed on our data pipeline techstack, which uses Python deployed on Snowflake and Databricks via AWS, Azure, and GCP.

Preferred Qualifications

Experience with ingesting large amounts of user data into Snowflake or Databricks

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)

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