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Abnormal Security

AI-driven email threat detection and prevention

Software Engineer 1 - Cloud Infrastructure

Cloud EngineeringUpdated on Nov 10
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related technical field.
  • 1–2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security, and cost.
  • At least 1 year of experience with Python.
  • 6 months to 1 year of experience with at least two of Terraform, AWS (or equivalent public cloud provider services), and Kubernetes.
  • Experience working within mature software development practices, including source control, testing, and deployment.
  • Experience with on-call rotations, incident response, and operating production-grade systems.
  • Experience using AI coding tools such as Claude Code or Codex in daily engineering work, with the judgment to validate, simplify, and reject AI-generated output that does not hold up in production.
  • Strong communication skills and the ability to work effectively in a fast-paced, remote-first environment, balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset.

Responsibilities

  • Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment using AWS and Azure.
  • Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning.
  • Participate in technical discussions and provide constructive reviews.
  • Contribute as a core member of an agile team with a strong sense of ownership and teamwork.
  • Partner with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions.
  • Participate in an on-call rotation, identify customer pain points and systemic gaps, and drive long-term reliability improvements.
  • Address root causes, automate repetitive work, and shape roadmap investments to reduce technical debt and operational toil.
  • Use AI as a primary way to explore, design, and ship solutions, and improve team and system context through documentation, runbooks, and AI skills.

Desired Qualifications

  • Experience with Bash, Golang, and Terragrunt.
  • Prior experience building large-scale infrastructure-as-code abstractions.
  • AWS certifications.

About the Company

Abnormal Security

AI-driven email threat detection and prevention

Abnormal Security provides AI-driven email security for large enterprises to prevent phishing, malware, and business email compromise. Its platform analyzes emails using machine learning to detect suspicious patterns and behaviors in real time, stopping threats before they reach users. The product integrates with existing email systems via an API, allowing quick deployment with minimal disruption. The company differentiates itself by focusing on sophisticated, modern threats that bypass traditional defenses, backed by a leadership team with deep AI, ML, and enterprise security experience, and by offering a subscription model that supports continuous protection and updates. The goal is to help organizations securely communicate by continuously detecting and blocking email-based attacks and staying ahead of attackers through ongoing research and development and growth.

Company size
1,001-5,000
Company stage
Series D
Total funding
$534M
Headquarters
Las Vegas, NV
Founded
2018

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