Senior Software Engineer, Abnormal Security

• 6+ years of software engineering experience in backend, distributed systems, or data-focused roles
• Proven experience designing and running large-scale, production-grade data pipelines
• Proficiency in our stack: Python, Spark/PySpark, Airflow, SQL, dbt, Databricks, Snowflake, AWS
• Proven track record of driving pipeline reliability to 99%+ uptime, including SLAs, observability tooling, and automated recovery patterns
• Strong systems-thinking skills with the ability to debug complex distributed systems, optimize for performance and cost, and make architectural decisions balancing short-term needs with long-term scalability
• Demonstrated ownership mindset and ability to drive projects from conception to production independently, including on-call responsibilities for critical systems
• Experience collaborating with Data Science, Analytics, Product, Finance, Marketing, and Sales, along with the ability to communicate technical decisions clearly to non-technical stakeholders and executives
• Bachelor’s degree in Computer Science, Applied Sciences, Information Systems or other related quantitative fields

Desirable

• As the founding member of our Data Engineering function, you will establish the technical and operational foundation for data excellence across the company
• Your work will enable Abnormal to continue its steep growth trajectory while delivering enterprise-grade reliability and performance
• You’ll own the end-to-end reliability of the business-critical data pipelines that fuel our AI models, everything from detection analytics to behavioral baselining systems to the data infrastructure backing our threat intelligence capabilities
• As we expand globally and onboard increasingly large enterprises, you’ll architect systems that scale gracefully while maintaining 99.9% availability
• This is a high-visibility, cross-functional role
• Your work will directly accelerate Data Science innovation, improve product quality for customers, and inform GTM and financial decisions across the organization
• You will serve as the connective tissue between our Data Platform team and our Data Guild’s analytical expertise
• Own mission-critical pipeline reliability: Take end-to-end ownership of our production data pipelines processing billions of messages weekly, ensuring 99.9% uptime for revenue-critical pipelines that directly enable sales and customer-facing AI products
• Build self-healing pipelines: Design and implement automated monitoring, testing, and recovery systems for data pipelines that eliminate manual intervention and reduce MTTR from hours to minutes
• Accelerate development velocity: Deploy CI/CD pipelines and self-service platforms that reduce deployment time from 3-5 days to under 2 hours, enabling Data Scientists to safely deploy models without engineering bottlenecks
• Architect for scale: Optimize data pipelines handling exponential annual growth, implementing cost-effective solutions that support regional expansion and compliance requirements (GDPR, FedRAMP, SOC2)
• Bridge technical and business domains: Partner with Sales, Finance, and Product teams to ensure data infrastructure aligns with business needs, making critical trade-off decisions when pipelines impact revenue
• Establish data engineering excellence: Define best practices for dbt, Airflow, Spark usage, PII anonymization, and cross-divisional data sharing while mentoring embedded Data Guild team members on these
• Enable AI and accessible data consumption: Design and maintain an accessible semantic layer that provides consistent, trustworthy definitions and abstractions, making it easy for stakeholders to consume data and incorporate AI-driven insights into their workflows
• This is a founding role where you'll establish data engineering excellence at Abnormal and build the foundation that powers our next phase of growth
• You'll have the autonomy to make critical technical decisions, the visibility to see your direct impact on business outcomes, and the potential opportunity to build a team and platform from the ground up
• As we scale to protect more of the world's largest enterprises, your work will ensure our data pipeline infrastructure matches the world-class standard of our security products