Software Engineer II - Cloud Infrastructure Engineer

Abnormal

5h•$149,200 - $214,500•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.