Senior/Staff Software/Data Engineer

Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.

Armis is a privately held company headquartered in California.

Sr/ Staff Software Engineer Backend / Data Focus

Location: This is a 100% remote position (must reside in the US)

Overview:

We are seeking a highly skilled, motivated, and independent Senior/Staff Software/Data Engineer to join the VIPR Product Group within Armis. Our team still operates as a start-up which is fast-paced and agile, but benefits from the resources of a leading cybersecurity company. As part of this group, you will play a critical role in building and scaling data pipelines that power solutions designed to address the most pressing challenges in the cybersecurity industry.

Our mission is to revolutionize vulnerability management, risk prioritization, and risk resolution by delivering innovative solutions that help organizations stay ahead of emerging threats. We leverage cutting-edge technologies, including AI for deduplication, contextual enrichment, and identifying vulnerability root causes, to develop software that empowers security practitioners to anticipate and mitigate vulnerabilities ripe for exploitation.

If you thrive in a dynamic environment where your work directly impacts critical security operations and enjoy solving complex problems using modern data technologies, we invite you to become a key contributor to our growing, agile, and high-performing team. This is an exceptional opportunity to join one of the fastest growing pre-IPO cybersecurity startups.

What you’ll do:

• Design, build, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.

• Develop robust ETL processes to extract, transform, and load data from various sources into our data warehouse.

• Optimize data processing workflows for performance, reliability, and scalability.

• Implement data quality monitoring and validation processes to ensure accuracy and consistency of data.

• Work closely with frontend software engineers to integrate data-driven features and functionalities into our products and services.

• Stay abreast of emerging technologies and best practices in data engineering, and propose innovative solutions to enhance our data infrastructure.

Minimum Requirements:

• US Citizen (based in US) - Required

• 5+ years experience  as a Software Engineer or similar role, with a focus on building data pipelines and infrastructure.Hands on experience in Python programming and experience with relevant libraries and frameworks for data processing is required (e.g. Pydantic, MongoDB, FastAPI, Redis, Pandas, NumPy, Spark). - Required

• 3+ years experience with MongoDB and larger data sets  is required i.e. Terabyte's  - Required

• Strong understanding of database systems, with experience in designing and optimizing queries.

• Hands-on experience with cloud platforms, particularly AWS (Amazon Web Services), and familiarity with services such as S3, ECS, SQS.

• Experience working with large-scale distributed systems and parallel processing frameworks.

• Solid understanding of data modeling concepts and techniques.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills, with the ability to work effectively in a team environment.