Senior Software Engineer - Scoring

February 15

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Abnormal Security

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Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

Email Security • Business Email Security • Cloud Email Security • Phishing Detection • Business Email Compromise

501 - 1000 employees

📋 Description

• 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. • 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, 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.

🎯 Requirements

• 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. • Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders. • Excellent problem-solving skills and the ability to work independently in a fast-paced environment.

🏖️ Benefits

• At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. • Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. • Benefits are also an important piece of your total compensation package. • Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.