project44 is revolutionizing the freight and logistics industry by applying cutting edge technologies to automate the entire lifecycle of freight shipments including quoting, scheduling, and real-time visibility. project44’s network of APIs is capable of optimizing the shipment lifecycle, empowering companies to deliver the best customer experience possible, and provide up to date data while cutting costs along the way.

We are looking for a hybrid software and systems engineer responsible for reliability, availability, automation, and other areas related to ensuring that the project44 service runs smoothly and has capacity for future growth. You will be embedded with the various development teams to ensure that as the system scales and new features are delivered, reliability is not compromised. Additionally, you will work on code and automation to create new systems for scaling deployments and the mission critical operations of our cloud platform.

Key Accountabilities

  • Analyze and improve the reliability, scalability, and efficiency of our systems through both automation and code development within the dev teams
  • Create scalable alerting and auto remediation systems
  • Perform advanced troubleshooting and monitoring of our systems to ensure SLA and capacity requirements
  • Design the system and processes that project44 engineers use to deploy their software into production
  • Monitor and respond to production metrics and alerting notifications
  • Help evaluate and choose emerging technologies…containers, auto-scaling, self-healing capabilities, performance and code quality tooling, etc. Determine the right tool for the right task.

Requirements & Preferred Skills

  • 4+ years of operational development experience
  • Experience with operating AWS infrastructures (VPCs, ELBs, security groups, NAT gateways, auto-scaling, RDS, S3, CloudWatch)
  • Experience with metrics and alerting platforms such as Datadog, New Relic, AppDynamics
  • Experience building and operating complex distributed systems
  • Proficient in high level script languages such as Python or Groovy
  • Experience developing solutions leveraging Docker
  • Experience managing Linux (Ubuntu) systems
  • Configuration management experience with Ansible or Terraform
  • Building/implementing monitoring for network, server, application, and database layers
  • Experience with monitoring tools such as Zabbix, Nagios, Grafana, CloudWatch
  • Experience with APM tools such as New Relic, AppDynamics, Datadog, Runscope
  • Experience with log aggregation systems using Logstash and Elasticsearch
  • Continuous integration, testing, and deployment using git, Jenkins
  • Experience with relational databases (Postgres)
  • Experience with NoSQL databases (DynamoDB, Cassandra, Mongo)
  • Experience with Hadoop (Cloudera), Spark, Elasticsearch, and other big data analytics platforms
  • Exceptional communication and troubleshooting skills
  • Must be legally authorized to work in the United States

Tools We Work With

  • AWS
  • Ansible and Terraform for configuration management and remote orchestration
  • Linux (Ubuntu), Tomcat, Nginx, Spring Boot
  • Java, Python, Groovy
  • Kafka, Zookeeper, ELK stack
  • Postgres, Redis, DynamoDB
  • Hadoop, Spark
  • Zabbix, Grafana, Datadog
  • Github, Confluence, Jira, Jenkins, Artifactory, Slack


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