Abnormal · USA
Skills: Python, Go, AWS, Docker
About the Role
Abnormal AI is an AI-native behavioral security platform that protects enterprises from advanced threats by analyzing and understanding communication patterns and access behavior at scale. We now protect more than 25% of the Fortune 500, and as we expand into new product lines and geographies, a scalable, reliable infrastructure foundation is critical to our next phase of growth.
The Platform & Infrastructure team is seeking a strong Cloud Infrastructure Engineer to help design, build, and operate the core compute and business-critical infrastructure services that form the foundation of Abnormal’s product platform.
What you will do
Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure) Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning. Drive design collaboration by participating in technical discussions and providing constructive reviews Contribute as a core member of an agile team with a strong sense of ownership and teamwork. Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions. Participate in an on-call rotation with a learning-oriented mindset, gaining insight into customer pain points, identifying systemic gaps, and driving long-term reliability improvements. Drive down technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments to sustainably reduce both. Use AI as a primary way to explore, design, and ship solutions, and automate repetitive work and operational toil. Improve team and system context (docs, runbooks, AI skills) so AI-assisted work gets better for everyone.
Must Haves
Bachelor’s degree in Computer Science or a related technical field 1-2 years of experience engineering cloud infrastructure solutions for micro …truncated…
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