Software Engineer 1 - Cloud Infrastructure

Abnormal AI is hiring a Software Engineer 1 for its Platform & Infrastructure team. The role focuses on designing, building, and operating secure, reliable, cost-efficient cloud infrastructure and infrastructure-as-code, while partnering with product and application engineering teams to improve platform capabilities and reliability.

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

Requirements:

• 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
• Experience with Bash, Golang, and Terragrunt
• Prior experience building large-scale infrastructure-as-code abstractions
• AWS certifications