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Posted about 1 month ago

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

  • 5+ years industry experience building and scaling web applications and APIs
  • Familiarity with software build systems such as CMake, Autotools, and Make
  • Experience with automation and configuration management using Ansible
  • Deep experience with Python and Django