DevOps Engineer

About DoorLoop

DoorLoop is a high-growth technology (PropTech) company with offices in Miami, New York City, and Tel Aviv. We help property managers and owners make more money, get organized, and grow with easy-to-use, secure, and reliable, all-in-one property management software.

DoorLoop prides itself on being People First. We are a Certified Great Place to Work, are Forbes America’s Best Startup Employers in 2024 & 2025, and are proud to have our team rate us a 4.9/5 on Glassdoor.

Mission

DoorLoop is hiring a DevOps Engineer to manage all engineering infrastructure, improve the CI/CD process, develop and provide the necessary support to drive engineering efforts forward. In this role, you will be responsible for managing DoorLoop's infrastructure across all domains, taking full ownership of and overseeing production runtime. You will also implement best practices to enhance the product’s security, stability, and monitoring.

Responsibilities

• Infrastructure as Code (IaC): Design, provision, and manage resilient AWS infrastructure using Terraform/Terragrunt, ensuring environments are scalable and fault-tolerant.
• Pipeline Orchestration: Own the CI/CD lifecycle (GitHub Actions/Jenkins), automating build and deployment flows to achieve high-frequency, low-risk releases.
• Operational Health: Architect comprehensive monitoring and observability stacks (Coralogix, Grafana, New Relic) to proactively manage system performance and uptime.
• Security & Compliance: Hardened our perimeter by implementing rigorous access controls, vulnerability scanning, and automated security guardrails.
• Developer Enablement: Build internal tools and scripts (Python/Bash) to eliminate bottlenecks, allowing our developers to focus on shipping features.
• Incident Response: Serve as a key stakeholder in production stability, acting on alerts and conducting root-cause analysis for system anomalies.

• 3+ years in DevOps roles, specifically within high-scale SaaS environments.
• Expert-level hands-on experience with the AWS ecosystem.
• Deep proficiency with Kubernetes (EKS), containerization (Docker), and GitOps workflows (ArgoCD/Argo Rollouts).
• Expert use of AI-assisted coding tools like Cursor or GitHub Copilot to accelerate development and debugging cycles.
• Practical experience with AWS Bedrock, Sagemaker, or similar services for deploying and scaling generative AI applications.
• Strong proficiency in Terraform/Terragrunt and scripting languages like Python or Bash.
• Familiarity with AI-assisted development (Cursor, ChatGPT) and a working knowledge of AWS Bedrock or similar AI/ML infrastructure.
• A proactive problem-solver who thrives in fast-paced environments and possesses a "can-do" attitude toward complex technical debt.
• Ability to translate complex infrastructure needs into actionable insights for the wider engineering team.

We may use AI tools to help review resumes and applications, with human oversight at all times. Please review our privacy policy.