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.
Skills Required
- Bachelor's degree in Computer Science or related technical field
- 4+ years engineering cloud infrastructure for production microservice systems
- 2+ years Python experience including application-layer code
- 1+ year experience with Kubernetes and Helm
- 1+ year AWS experience (VPC, IAM, S3, Route 53, CloudFront, EKS, ECS, CloudWatch)
- 1+ year Terraform and HCL experience
- Comfort operating across infrastructure and application engineering
- Experience with on-call rotations, incident response, and operating production-grade systems
- Practical experience using Generative AI tools in engineering workflows
- Strong communication skills and ability to work in a fast-paced, remote-first environment
- 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 AI-first workflows
- Prior experience building large-scale IaC abstractions or internal developer platforms
- AWS certifications
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
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Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
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Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
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Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
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