Sr. Software Engineer

inContact   •  

Salt Lake City, UT

Industry: Enterprise Technology


Not Specified years

Posted 43 days ago

As a Sr. Software Engineer, a Typical Day Might Include the Following:

  • Work as a member of an agile team to enhance and improve software written in one or more of the following languages: C#, C++, Java, Javascript, Scala, Python
  • Design and present projects to improve current process and overall platform.
  • Code and test projects.
  • Manage time effectively working on one or more concurrent projects.
  • Create automation to ensure quality.
  • Deliver high quality, sustainable, maintainable code.
  • Attend meetings and training as required.
  • Works with system analysts and product management for the successful completion of a project.
  • Leads team or mentors other developers as needed.
  • Provides critical technical capabilities to the team and evangelizes those skills to others.
  • Functions as a Technical or Team Lead as needed.
  • Follow established department procedures, policies, and processes.

Specific projects you'll get to help us with

  • Consolidating call history and call quality data in disparate data warehouses into regional big data stores, fronting the data with a web UI for internal use and a REST API for partner access
  • Placing our SIP messaging into a time series database and provide an easy way to access the data for troubleshooting and call analysis
  • Correlating telephone calls with infrastructure in a graph database to quickly identify root cause
  • Moving our service settings and configuration from cluster-tied databases into a clusterless microservice, accessible via integrated UIs and APIs
  • Integrating with third party TTS, ASR, and bot vendors to expand our customer's choices
  • Expanding our API testing capabilities

Desired Experience

  • Familiarity with .NET Core
  • Relevant experience with web development frameworks and packaging; Angular and Bower preferred
  • Credible experience in the public cloud; AWS preferred
  • Experience developing and deploying applications in Docker containers
  • NoSQL experience with document, time series, and graph databases at big data scale
  • Practiced understanding of microservices architecture
  • Telephony experience, including VOIP, media streaming, SIP signaling, and RTP
  • Familiarity with machine learning/artificial intelligence.