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Full Stack Engineer (Hybrid Schedule)

Job Title
Full Stack Engineer (Hybrid Schedule)
Job ID
Work Hybrid
Denver,  CO 80222
Other Location
Our History: 
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.

Conexess Group is aiding a large healthcare client in their search for a Full Stack Engineer in Denver, CO. This is a long-term opportunity with a competitive compensation package.

This position will operate on a hybrid schedule and will require 3 days onsite per week in Denver, CO.

******We are unable to work C2C on this role******

  • Responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production.
  • This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business.
  • In addition to Delivery, the Full Stack Engineer should have an automation first and continuous improvement mindset.
  • Drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
  • Articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily.
  • 2+ years being part of Agile teams – Scrum or Kanban
  • 2+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
  • 3+ years of working in an object-oriented language: C, C++, Java, Scala, or other OO compiled language
  • 3+ Years of working experience with Splunk, JBOSS, Maven and jenkins
  • 2+ years of working experience with operationalizing Machine learning models
  • 2+ years of working experience with healthcare domain data and integrating them as key features (feature engineering) within predictive models
  • 3+ years of scripting (JavaScript, Python, R, Ruby, Perl, etc.)
  • 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
  • 2+ years of performing statistical analysis using SAS/R/Python
  • Experience with Github/SVN
  • 2+ Years of working experience with Machine Learning frameworks (Datarobot, Scikit-learn, Scipy, Spark ML)
  • 2+ Years of solution architecting and development in AWS and other Cloud native environments

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