When someone installs Density in a location, they get access to real time, accurate people count. Our API is the foundational component that customers rely on when integrating and interacting with our data. Making people-count data available, in a real-time setting, means all underlying systems must be continuously operational and ready to scale at a moment's notice.

We’re looking for an engineer to help bring Density on-premise for our enterprise customers. This position will play a large role on both the hardware and software teams in crafting the deployment, orchestration, and management systems that power Density in a closed system, at enterprise locations.

While Density is a remote-friendly company, we have offices in San Francisco, New York City, and Syracuse, NY.

This position reports to Density's Head of Engineering

Here's what we're looking for



Deep experience with on-premise deployments and best practices



Linux system experience with a focus on systemd and rpm



Knowledge of AWS stack (IAM, RDS, Elasticache, Autoscaling, SQS, Load Balancing, Elasticsearch, Route53, Cloudfront)



Experience with distributed data systems (Hadoop, Kafka, Kubernetes, Zookeeper, quorum based platforms, message brokers)



Experience with ELK Stack (Elasticseach, Logstash, Kibana) for logging and debugging



Python application support and/or packaging



Linux server administration - syslog, permissions, nginx



Understanding of container management with Docker



Advanced ability to craft clear and concise documentation



Icing on the cake