AI & Engineering Platform Intern at Arlo… · Milpitas

Summary: Arlo Technologies, Inc. is dedicated to creating innovative security solutions that empower individuals to feel safe and secure. They are seeking an AI & Engineering Platform Intern who will contribute to AI-Native Development by enhancing internal tools and automating workflows to optimize the company's global infrastructure. Responsibilities: - AI-Driven Tooling: Build and enhance internal tools and CLI utilities using Cursor and AI-assisted development to improve developer productivity - SRE Automation: Assist in developing and refining the Arlo SRE Agent workflows for automated incident triage, log analysis (Splunk), and metric correlation (Datadog) - Infrastructure as Code (IaC): Leverage AI to generate and audit Terraform/CloudFormation templates for AWS-based global deployments - Process Optimization: Analyze existing manual DevOps/SRE workflows and propose/implement AI-powered replacements - Knowledge Base Management: Use AI to synthesize incident reports and documentation into searchable knowledge bases for the engineering organization Required Qualifications: - High proficiency in using Cursor, GitHub Copilot, or similar AI-integrated IDEs to accelerate development cycles - Currently pursuing a degree in Computer Science, Software Engineering, or a related field with strong coding skills in Python, TypeScript/Node.js, or Go - A deep interest in how large-scale cloud systems work (AWS, Kubernetes, EKS, DynamoDB) - Ability to take a high-level 'user query' and turn it into a functional tool or automation script - Strong written and verbal communication skills to document AI-native workflows for the broader team Preferred Qualifications: - Experience with Prompt Engineering or building apps using OpenAI/Anthropic APIs - Familiarity with monitoring and logging tools like Datadog and Splunk - Contributions to open-source projects or a portfolio of personal projects built using AI assistance - Understanding of CI/CD pipelines (Harness, GitHub Actions) Required Skills: AI Savvy, Python, AWS Important Skills: TypeScript/Node.js, Go, Infrastructure as Code, Datadog, Splunk Nice-to-Have Skills: Problem Solver, Communication