Senior Software Engineer (Data-Oriented)

About the position

We are looking for a highly skilled and motivated Senior Software Engineer (Data-Oriented) to join our fast-growing Silk (by Armis) team. Silk is revolutionizing cybersecurity by tackling one of the industry's most critical challenges—prioritizing vulnerabilities and streamlining the resolution process—through an innovative and groundbreaking approach. In this role, you will play a key part in designing, developing, and optimizing our data infrastructure, supporting the analysis and processing of massive-scale data sets (we’re talking terabytes). You'll work at the cutting edge of cybersecurity, leveraging the latest technologies to extract actionable insights from diverse data sources.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure for processing large-scale data efficiently.
• Build and optimize ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Collaborate with cross-functional teams to understand business needs and implement data-driven solutions.
• Enhance performance, reliability, and scalability of data processing workflows.
• Implement data quality monitoring to ensure accuracy, consistency, and integrity across all datasets.
• Work closely with software engineers to integrate data-driven features and functionalities into Armis products.
• Stay ahead of industry trends, continuously improving our data infrastructure with emerging technologies.

Requirements

• US Citizenship - Required
• 5+ years of experience as a Software Engineer (or similar role) specializing in data engineering and infrastructure.
• Strong Python programming skills with hands-on experience using data processing libraries/frameworks (e.g., Pydantic, MongoDB, FastAPI, Redis, Pandas, NumPy, Spark).
• 3+ years of experience working with MongoDB and managing terabyte-scale datasets.
• Deep understanding of database systems and expertise in query optimization.
• Experience working with cloud platforms, particularly AWS (S3, ECS, SQS).
• Hands-on experience with large-scale distributed systems and parallel processing frameworks.
• Strong knowledge of data modeling concepts and best practices.
• Exceptional problem-solving skills with a sharp attention to detail.
• Strong communication and collaboration abilities to work effectively in a team-oriented environment.

Benefits

• Comprehensive health benefits
• Discretionary time off
• Paid holidays including monthly me days
• Highly inclusive and diverse workplace