AirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona.

Our self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape.

We also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world.

We track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world.

We’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.

The Role: Come join our Platform team and help drive our growth by designing, maintaining, and improving our platform and processes. The ideal person for this role is driven to design robust, scalable, secure infrastructure, cares about the details, and enjoys helping both individual engineers and their teams work more effectively.

Here’s what you’ll get to do:

• Build and maintain monitoring, logging, and telemetry solutions for proactive performance and reliability management (experience with Datadog, Prometheus, Grafana).
• Evaluate and integrate new technologies to enhance platform capabilities, especially around containers, databases, and cloud-native architectures.
• Ensure security, compliance, and cost optimization in all platform solutions, utilizing tools like IAM, GuardDuty, and AWS Security Hub.
• Design, implement, and manage scalable infrastructure solutions using AWS services (EC2, S3, RDS, Lambda, CloudFront, etc.).
• Manage, scale, and optimize multiple databases (PostgresQL + Druid) to ensure performance, availability, and redundancy.
• Collaborate with development and operations teams to streamline release processes and integrate best practices for infrastructure as code (Terraform, CloudFormation).
• Work closely with stakeholders to identify infrastructure needs and lead initiatives to scale the platform in alignment with business goals.
• Drive continuous improvement in the platform’s architecture and processes, optimizing for performance, reliability, and operational efficiency.
• Collaborate with cross-functional teams to align platform development with product goals and strategies.
• Mentor and guide junior team members, providing technical leadership and driving best practices across the platform team.

Here’s what you’ll need to be successful:

• Strong familiarity with Amazon Web Services, multi-account experience preferred.
• Expertise using Docker and Kubernetes.
• Experience with developing and maintaining CI/CD pipelines to automate application deployment and infrastructure provisioning.
• Able to diagnose and troubleshoot problems in a distributed microservice environment.
• Solid understanding of TCP/IP networking.
• Expertise with Linux (prefer Ubuntu, Alpine, and/or Amazon Linux).
• Understanding of DevOps practices.
• Demonstrated experience in managing or leading platform teams, with the ability to grow the team and develop talent within.

Here’s what would be nice to have:

• Gitlab pipelines
• ArgoCD
• Linkerd, Istio or other service mesh
• ELK stack or similar logging platforms
• Ansible or other configuration management tools
• Cloudformation or other IaC tools
• JSON/YAML
• OpenVPN
• Apache Airflow
• Databases (postgres and Druid preferred)
• Cloudflare
• Atlassian tools such as Jira, Confluence, StatusPage
• Programming experience: shell scripting, Python, Golang preferred
• Experience with performance optimization of distributed microservices