DevOps Engineer

About DoorLoop

DoorLoop is property management software built for speed and the smart choice for people who take growth seriously. With offices in Miami, New York City, and Tel Aviv, we’re a global company helping property owners and managers move faster, scale smarter, and get real support, real fast.

We’re proudly People First. That’s why we’re a Certified Great Place to Work, recognized by Forbes as one of America’s Best Startup Employers in both 2024 and 2025, and earn top ratings 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.

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