Sr. Back-End Engineer

  • Location:

    Savannah, Georgia 31406 - United States

  • Sector:


  • Job ref:


  • Contact:

    Jonathan King

  • Expiry date:


  • Published:

    2 weeks ago

  • Location: Savannah, Georgia
  • Type: Contract
  • Job #886

• Develop a new Enterprise-facing infrastructure Platform-as-a-Service (iPaaS). • Apply knowledge of common, relevant open source and commercial architecture frameworks in building the company’s foundry Data Enterprise architecture. • Ensure the technical transformation of applicable business cases from requirements to storyboard through development. • Provides technical guidance and expertise to Engineering team of the iPaaS design approach, status, tools, techniques, processes, procedures, and methodologies. • Build reusable code and libraries for future use. What We Are Looking For: • Expert knowledge of backend/server-side languages Golang, Python, and NodeJS. • Experience with container technologies (Docker) and orchestrators (Kubernetes) and management of container-based microservice applications across multiple clusters. • Deep knowledge of best backend/server-side best practices and commonly used modules based on experience creating self-contained, reusable and testable modules and components. • Extensive knowledge on integrating Service Oriented and discoverable Web services and APIs. • JavaScript and framework experience preferred with at least one of these: JQuery, Backbone, Ember.js, Prototype. • Comfortable with Linux/Unix command line basics. • Hands on user experience with using Jira for issue tracking and project management. • Working knowledge of at least one version control tool: Git, Bitbucket. • Good verbal and written communication skills. Documentation should be second nature. • Good understanding of SDLC. • Extensive experience in Continuous test/integration/deployment platforms. • Experience with Cloud platform AWS. Nice-to-Haves: • Atlassian Tools familiarity: Jira, Confluence, Fisheye/Crucible, Stash, Bamboo. • Experience with automating processes and deployments using tools such as scripting (bash, python, perl, etc.).

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