Senior Software Engineer, Abnormal Security

• A first principles approach to building scalable, customer-centric solutions
• A drive to solve meaningful & pragmatic problems for real-world people
• An ownership and impact oriented outlook on your efforts and growth
• An ability to iterate in real-time-solving novel problems, quickly and autonomously
• An ability to iterate in real-time - solving novel problems, quickly and autonomously
• 5+ years of experience as a data engineer or in a similar role, with hands-on experience in building data-focused solutions
• Expertise in ETL, data pipeline design, and data engineering tools and technologies (e.g. , Apache Spark, Hadoop, Airflow, Kafka)
• Experience with maintaining real-time and near real-time data pipelines or streaming services at high scale
• Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based data engineering
• A background in implementing data quality frameworks including validation, monitoring, and anomaly detection to ensure data accuracy, consistency, and reliability
• You know how to design checks and alerts to maintain data integrity and quickly respond to potential issues
• Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders
• You’re able to translate requirements into actionable technical tasks, communicate progress clearly, and adapt to feedback
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment
• You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability

Desirable

• Abnormal Security is looking for a Senior Software Engineer to join the Detection Team
• The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place
• As a Data Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science team.
• Architect, design, build, and deploy backend ETL jobs and infrastructure that support a world-class Detection Engine
• Ownership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection’s Data Pipeline by 10x
• Own real-time, near real-time streaming pipelines and online feature serving services
• Collaborate closely with MLE and Data Science teams, by distilling feedback, correlating it to our strategy, and executing
• Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews