Microservice Developer

 In

Website Application Development

Reference Code: 4737

Title: Microservice Developer

Location: Detroit, MI, 48265

Duration: 25 Weeks With possibility of extension

Type: Contract

Shift: M-F

Job ID: 130363-1

 

  • 2+ years of software development utilizing industry standard design patterns in common languages such as Java. Demonstrated experience with test-driven development techniques (TDD, Junit, mocks).
  • Familiarity with 12-factor microservice development patterns
  • Familiarity with multiple interface patterns including RESTful APIs or event-based messaging
  • Applied scripting experience in advanced scripting languages (eg. Python, Groovy, Powershell, JavaScript)
  • Applied experience with Unix/Linux shell scripting
  • Applied experience with iterative and incremental development on product-focused teams practicing code reviews
  • Knowledge of version control systems (Git, Bitbucket) and modern version control for use in continuous deployments
  • Competency writing basic SQL queries. Oracle and/or Postgres experience a plus. NoSQL experience with Cassandra a plus.
  • Excellent verbal and written communication skills and ability to effectively communicate and translate feedback, needs and solutions
  • Strong teamwork focus and the ability to foster collaboration within and across teams

 

Preferred Qualifications:

  • Experience developing 12-factor microservices while utilizing Continuous Integration, Build, and Delivery w/Spring, Spring Boot
  • Experience building and maintaining highly automated CI and CD pipelines leveraging technologies such as Azure DevOps Server (formerly TFS), Jenkins, Maven, Artifactory, Black Duck, Chef, SonarQube
  • Experience in designing and implementing container technologies like Docker, Kubernetes and Helm
  • Experience utilizing platform and infrastructure-as-a-service technologies and capabilities and their corresponding services (object store, configuration management, service registries, etc.). Pivotal Cloud Foundry experience strongly preferred.
  • Experience with Big Data technologies and developing in Hadoop ecosystem, i.e. Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python
  • Experience with the ELK stack and dashboarding within Kibana

Experience supporting applications in Production

 

 

 

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