A

Abnormal Security

AI-driven email threat detection and prevention

Software Engineer 2 - Development Infrastructure

DevOps EngineeringUpdated on Nov 10
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 3 years of professional experience as a hands-on engineer building backend systems and/or platforms.
  • At least 2 years of experience working with Python.
  • Experience delivering complex projects end-to-end in a cloud-native environment.
  • Experience building or operating production CI/CD, build, or deployment systems, including on-call and incident response.
  • Understanding of distributed systems, containerization, and microservices.
  • Practical experience using generative AI tools in day-to-day engineering workflows.

Responsibilities

  • Lead the design and delivery of complex, multi-component features and systems for the Development Infrastructure team's offerings, and shape the roadmap for this area.
  • Develop and maintain CI/CD infrastructure and tools that enable Engineering to develop and ship changes reliably with less effort.
  • Design and implement enhancements to GitHub Actions infrastructure, base Docker images, and build/deploy pipelines to improve scalability, performance, and cost.
  • Use AI tools to explore and compare solutions, adapt generated changes to production constraints, and weigh system complexity and long-term maintainability.
  • Own on-call issues, including complex issues with unclear root causes, and fix the systemic gaps behind them.
  • Participate in planning, code reviews, standups, and other aspects of the software development life cycle, and coach other engineers on the team.

Desired Qualifications

  • Experience creating and maintaining CI/CD systems.
  • Experience with GitHub Actions.
  • Experience with Go.
  • Experience with Bazel.
  • Experience working on or with teams such as Engineering Effectiveness, Engineering Productivity, Development Experience, or Development Infrastructure.
  • Knowledge of Docker, Kubernetes, or similar technologies.
  • Familiarity with generative AI tools such as Codex and Claude, and experience driving AI-first workflows and solutions.

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

Recently Posted Jobs

Explore more opportunities at Abnormal Security

See more jobs