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 Cloud Infrastructure Engineer for our Cellular Infrastructure team. This team owns the full lifecycle of Abnormal’s cell-based deployment architecture—bootstrapping new cells, deploying our entire application and infrastructure stack onto them, and keeping every cell healthy, isolated, cost-efficient, and compliant. Engineers on this team wear multiple hats: infra engineering, application-layer debugging, and close collaboration with product and application teams to minimize overhead so those teams can stay focused on building.
What You Will Do- Bootstrap new cells end-to-end: full infrastructure setup (compute, networking, IAM, etc.) and complete application stack deployment.
- Maintain and evolve cell lifecycle tooling to make provisioning repeatable, auditable, and operator-friendly—reducing manual steps and time-to-production.
- Partner with application and product teams to design and implement scalable, cell-native architecture approaches.
- Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure).
- Triage and resolve complex cross-layer issues quickly, then drive root cause fixes that prevent recurrence.
- Drive down technical debt and toil through automation and systemic improvements to the cell deployment lifecycle.
- Participate in on-call rotation with a learning-oriented mindset, identifying systemic gaps and driving long-term reliability improvements.
- Keep cross-team communication low-friction and high-signal: proactive and well-contextualized.
- Contribute as a core member of an agile team through sprint planning, standups, and execution with a strong sense of ownership and teamwork.
- Bachelor’s degree in Computer Science or a related technical field.
- 4+ years of experience engineering cloud infrastructure for production microservice systems, with attention to performance, reliability, security, and cost.
- 2+ years of Python experience, including application-layer code (not just scripts).
- 1+ year of experience with Kubernetes and Helm.
- 1+ year of AWS experience ( VPC, IAM, S3, Route 53, CloudFront, EKS, ECS, CloudWatch)
- 1+ year of Terraform and HCL experience.
- Comfort operating across infra and application engineering without hard boundaries.
- Experience with on-call rotations, incident response, and operating production-grade systems.
- Practical experience using Generative AI tools in day-to-day engineering workflows.
- Strong communication skills and the ability to thrive in a fast-paced, remote-first environment—balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset.
- Experience with Bash, Golang, Terragrunt and data infrastructure (Spark, Databricks)
- Hands-on experience with cell-based, multi-tenant, or multi-region infrastructure architectures.
- Familiarity with Generative AI developer tools such as Claude Code, and experience driving AI-first engineering workflows.
- Prior experience building large-scale IaC abstractions or internal developer platforms.
- AWS certifications.
#LI-ML1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
