Software Engineer 1 - Cloud Infrastructure
Abnormal AI· Platform & Infrastructure
Remote$122.4k - $176kfull-timePosted 1w ago
About the role
Cloud Infrastructure Engineer to design, build, and operate core compute and business-critical infrastructure in a multi-cloud environment (AWS and Azure) for Abnormal AI's platform, with emphasis on automation, reliability, and collaboration in an agile, remote-first team.
Responsibilities
- 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 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
- Use AI as a primary way to explore, design, and ship solutions, and automate repetitive work and operational toil. Improve team and system context (docs, runbooks, AI skills) so AI-assisted work gets better for everyone.
Qualifications
- Bachelor’s degree in Computer Science or a related technical field
- 1-2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost
- 1+ years of experience with Python
- 6 months - 1 year of experience with at least 2 of these areas: Terraform, AWS (or equivalent public cloud provider services), Kubernetes
- Experience working within mature software development practices, including source control, testing, and deployment
- Experience with on-call rotations, incident response, and operating production-grade systems
- Experience using AI coding tools (e.g., Claude Code, Codex) in daily engineering work, with the judgment to validate, simplify, and reject AI-generated output that doesn’t hold up in production
- 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
Skills
Required:PythonTerraformAWSKubernetes
Benefits
- Base salary range: $122,400—$176,000 USD (salary)
- Bonus or incentive compensation, equity, and a comprehensive benefits package
Last updated Oct 17, 2026. Interested? Apply on the company site.
About Abnormal AI
The Behavioral Security Platform for the AI era.
AI SecurityAbnormal Behavioral Security PlatformBehavioral SecurityEmail SecurityIdentity SecurityInsider ThreatPlatformenterprise-infrastructure
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