Sr. Java Full Stack Developer

Duration : 12+ Months  

Exp 10+ Years in Java. 

Rate : Open

Emp type: 1099/W2 or independent candidates. 

Location: Reston VA 

 

 

Job Description:

 Java full stack software engineer who wants to work on an agile development team. Our application stack includes (among other things) ReactJS on the front end; Groovy, Java, Spring, Cassandra, and Oracle on the back end. We also stream data to Google Cloud Platform for analytics and BI dashboard reporting using BigQuery and Google Data Studio. Our team doesn't yet use pair programming for all engineering tasks, but encourages it for difficult problems and for general knowledge sharing. In addition to building new software the person hired for this position will work with other engineers in a DevOps manner to support CI/CD tooling and provide second tier production support of their own applications.

 

Expereince

• experience working on JavaScript libraries like React Js / Node JS.
• experience working on JavaScript Unit test cases using frameworks like Jest etc.
• Building high-performance, highly available and scalable distributed systems
• Building the simplest possible thing that will continually deliver working software to customers
• UI development, ReactJS, Redux, Jest, cypress.io
• Service development, REST, HTTP, Java, Spring, Groovy, Spock, NoSQL (Cassandra), Oracle, XML, JSON
• Prioritize, communicate clearly, and consistently deliver results
• TDD, paired programming, code reviews, and aggressive refactoring
• Work with open source software and tools (e.g. Spring, Apache, Tomcat, Jenkins, etc.)

Preferred Technical Skills :

• Knowledge of modern deployment, CI/CD, and configuration management tools
• Ability and aptitude to dig into and solve challenging problems and proactively avoid problems
• Experience in building web UI with ReactJS, or other JavaScript frameworks
• Scripting, automation, and troubleshooting of processes and systems; scripting in the shell and at least one of the following: Ruby, Perl, or Python
• Google Cloud Platform Big Query, Google Data Studio, or other BI tooling
• Networks, security, firewalls, load balancers, DNS, and other infrastructure components

 

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