Our engineers build systems that catch bad guys.  Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms.  That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.

To solve this problem, we’re looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming.  

Responsibilities:

Lead devOps team

Automate new and existing processes/environment to build, test and deploy software and infrastructure

Work on projects to support new product features, improve performance, scale capacity, reduce costs, and secure data

Work with multiple Engineering teams to determine long-term vision and design architecture

Research new and emerging technologies for future consideration

Define and improve new and existing infrastructure for performance monitoring and anomaly detection

Quickly react to issues and troubleshoot as a leader working across multiple teams

Desired Skills and Experience

  • Lead devOps team

  • Automate new and existing processes/environment to build, test and deploy software and infrastructure

  • Work on projects to support new product features, improve performance, scale capacity, reduce costs, and secure data

  • Work with multiple Engineering teams to determine long-term vision and design architecture

  • Research new and emerging technologies for future consideration

  • Define and improve new and existing infrastructure for performance monitoring and anomaly detection

  • Quickly react to issues and troubleshoot as a leader working across multiple teams

  • Java, Python, Cassandra, MySQL, Solr, Apache Spark, Play! framework, Linux, Docker, AWS

  • Prior Experience in leading devOps teams

  • Previous experience supporting a high traffic 24/7 SaaS product

  • Be proactive, multi-task efficiently, be detail oriented, work well in a team and individually, and lead by example

  • Strong troubleshooting and problem solving skills across the full stack to identify and resolve production issues in a timely manner

  • Strong skillset with Linux administration, performance monitoring and debugging tools

  • Strong understanding of build systems (e.g. Gradle, Bazel) and orchestration/automation tools (such as Chef, Ansible or Salt)

  • Good background in networking, server hardware, cloud services, and virtualization (Docker)

  • Good programming skills

  • Good experience with AWS

  • BS in Computer Science or related technical field