Cloud Infrastructure Engineer II , Platform Infrastructure
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Job Location:
Los Angeles, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About the Role
At Abnormal AI we safeguard the worlds largest enterprises from cybercrime. We protect our customers against adversaries who constantly evolve their techniques and tactics to outwit and undermine traditional approaches to email security. Thats what makes our novel behavior-based approach soAbnormal. Weve consistently been recognized as one of the top cybersecurity startups and our behavioral AI system has earned numerous industry accolades. Weve built our reputation and brand through our industry-leading email security solution which now protects more than 20% of the Fortune 500.
As Abnormal expands its ambitions beyond email into the broader Identity Security landscapewhile also maintaining and scaling our email security productsa scalable reliable infrastructure foundation is critical to powering our next phase of growth.
The Platform & Infrastructure team is seeking a strong Cloud Infrastructure Engineer to help design build and operate the core compute and business-critical infrastructure services that form the foundation of Abnormals control plane data plane and broader product platform.
What you will do
- Design build test scale monitor and maintain secure cost-efficient infrastructure in a multi-cloud environment (AWS and Azure)
- Develop evolve and operate infrastructure as code to support repeatable auditable and scalable system provisioning.
- Drive design collaboration by participating in technical discussions and providing constructive reviews
- Contribute as a core member of an agile team by participating in sprint planning standups and execution with a strong sense of ownership and teamwork.
- Partner closely with product and application engineering teams to understand platform needs and deliver well-designed developer-friendly infrastructure abstractions.
- Participate in an on-call rotation with a learning-oriented mindset gaining insight into customer pain points identifying systemic gaps and driving long-term reliability improvements.
- Drive down technical debt and operational toil by addressing root causes automating repetitive work and shaping roadmap investments to sustainably reduce both.
Must Haves
- Bachelors degree in Computer Science or a related technical field
- Experience working within mature software development practices including source control testing and deployment.
- 4 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments accounting for optimal performance reliability security and cost.
- 2 years of experience with Python
- 1 year of experience with Kubernetes and Helm
- 1 year of experience with AWS (VPC IAM S3 Route 53 CloudFront EKS ECS CloudWatch)
- 1 year of experience with Terraform and HCL
- 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 environmentbalancing autonomy with collaboration demonstrating a bias toward action and maintaining a positive constructive mindset.
Nice to Haves
- Experience with Bash Golang and Terragrunt.
- Familiarity with Generative AI tools such as Cursor and Claude and experience driving AI-first workflows and solutions.
- Prior experience building large-scale infrastructure-as-code abstractions.
- AWS certifications.
Required Experience:
IC
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
About Company
Advanced email protection to prevent credential phishing, business email compromise, account takeover, and more.
