Builds and scales backend systems, cloud infrastructure, and deployment pipelines for an AI platform serving property managers. Requires 3+ years experience with Node.js, IaC tools like Terraform, and DevOps practices.
Salary not listed
Remote3+ YOEDevOps / SRE
About the role
Responsibilities
Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation
Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands
Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products
Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability
Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform
Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions
Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability
Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services
Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)
Hands-on experience with database design, performance tuning, and scaling high-throughput data systems
Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices
Strong communication skills and ability to work effectively in a distributed, fast-paced environment
Comfortable operating in early-stage, high-ownership environments with evolving requirements
Nice-to-Haves
Experience with React and TypeScript on the frontend
Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows
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