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Application Development Consultant

HylaineAtlanta, Georgia, United StatesOnsite

As an Application Development Consultant, you form the backbone of our consulting pool. You will be exposed to a little bit of everything, with a strong focus on systems languages and choosing the right tool for the job. You will be working within a team to build solutions 
that solve real problems for our clients across many industries. 

What you’ll need:


  • Solid knowledge of a major web-focused language/platform combination: C# + ASP.NET | Java + Spring | JS + Node | Python + Django
  • Basic or better knowledge of front-end web technologies: The basics (HTML/JS/CSS) and a JS framework as a plus (Angular, React, Vue)
  • Working knowledge of software development processes, Agile methodologies, QA, and ALM tools like Jira or Azure DevOps
  • Working knowledge of how databases interface with what you build. Relational preferred, non-relational appreciated
  • Strong written and verbal communication skills to work our teams and clients.

Extra Credit:


  • Experience with one of the major Cloud Service Providers (AWS, Azure, Google Cloud)
  • Experience with data layer integration technologies such as Entity Framework (EF) or Dapper.
  • DevOps and modern CI/CD practices in Jenkins, Azure DevOps, or equivalent
  • Experience with containerization and microservice architecture.

Life at Hylaine

At Hylaine, we deliver unique, project-based technology solutions that help our clients embrace digital transformation, while maximizing their return on investment.
Thrive Here & What We Value1. Empowering clients by resolving challenges, mitigating risks, and removing roadblocks to enable solution delivery.2. Comfortable working across technologies and industries.3. Passionate about helping others succeed.4. Growth opportunities for career enhancement and technical abilities.5. Exposure to a little bit of everything, with a strong focus on systems languages and choosing the right tool for the job.6. Agile methodologies and DevOps basics as they pertain to data.7. Architecture basics of AWS, Azure or Google Cloud - i.e. compute, storage, and permissions.8. Understanding differences between VM and containers as well as knowledge of container orchestration technologies.9. Artificial Intelligence or Machine Learning including but not limited to R, Python, TensorFlow, PyTorch, AutoML, OpenML, Juila, Jupyter.10. Understanding Data Warehouse vs Data Lake vs Lakehouse concepts and tradeoffs.
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