Software Engineer - Big Data

    • KBR
  • Niceville, FL
  • Posted 28 days ago | Updated 11 hours ago

Overview

On Site
Full Time

Skills

DoD
C++
Big data
Version control
Amazon Web Services
Product development
Resource management
Knowledge management
Use cases
Data Science
Software development
Data Analysis
Debugging
Computer science
Software engineering
Problem solving
IT management
C#
Web applications
Apache Tomcat
Apache Storm
Apache Spark
MapReduce
Semantic Web
Elasticsearch
Microsoft SQL Server
Graph databases
Software design
Groupware
Continuous integration
Microsoft Azure
Technical drafting
Acquisition
Cloud computing
Evaluation
API
Kubernetes
Management
Documentation
Testing
Data
Analytical skill
Art
Agile
Writing
Database
Python
Scripting
Supervision
Communication
SAP BASIS
Security clearance
Organized
C
Bash
Java
WildFly
Node.js
Docker
Apache Hadoop
Cloudera
Hortonworks
Apache HBase
Resource Description Framework
OWL
Apache Hive
R
SQL
Modeling
Simulation
Training
Git
JIRA
Confluence
Jenkins
Virtualization
VMware
JavaServer Faces
MDA
Cyber security
Policies
Law

Job Details

Title:

Software Engineer - Big Data

ABOUT THIS POSITION

The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs. The candidate will be responsible for assisting external users, groups, and vendors with integrating their software tools and / or products with the government owned and developed Cloud Hybrid Edge-to-Enterprise Evaluation & Test Analysis Suite (CHEETAS) framework. This will require obtaining a detailed understanding of the CHEETAS REST-based API and mechanisms for extending CHEETAS via plugins and external tools. Additionally, experience with Kubernetes is important to understand how to effectively extend the application's functionality by deploying and managing containerized services. The successful candidate will have the ability to guide other external developers through the best way to integrate their tools with CHEETAS. In addition to integration efforts the ideal candidate will be adept at collecting and documenting use cases and requirements from stakeholders located at various Department of Defense (DoD) testing ranges and then either developing functioning software products to fulfill the documented requirements or handing the requirements off to other team members to develop. The developed tools will ultimately be integrated with TRMC's highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the 'art of the possible' with CHEETAS and other standard commercial Big Data tools. This job will require interaction with DoD Range analysts and end users to discuss requirements and needs. This requires the ability to effectively communicate at both a programmatic and technical level. When not supporting integration efforts the successful candidate will be assigned software development tasks in support of data analytics tasks. Other duties include: documenting, managing configuration, testing, and bug fixing involved in creating and maintaining applications and frameworks involved within an agile software release life cycle and resulting in a software product. The successful candidate will be expected to utilize BD and KM tools and follow processes that ensure high quality software is delivered. Candidates must also possess significant experience writing, executing, creating both database queries and Python scripts. Software Engineers of all seniority levels are encouraged to apply and will be considered. Candidates must be self-motivated and capable of working independently with little supervision / direct tasking. Candidates must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience physically located in every time zone nationwide, have excellent communication skills and be comfortable providing support to assist customers with installation and configuration of CHEETAS and the underlying ecosystems CHEETAS requires to function. This position is anticipated to require up to 25% travel based on workload to support end users located at various DoD Ranges across the CONUS and potentially Hawaii. Come join the CHEETAS team and be a part of the award-winning team responsible for revolutionizing how data analysis is performed across the entire Department of Defense!

BASIC QUALIFICATIONS

  • This position requires a bachelor's degree in Computer Science or a similar field, and 5-10 years of experience. Advanced degrees may be substituted for years of experience on a year-for-year basis. All candidates regardless of years of experience are encouraged to apply.
  • Previous experience must include five (5) years of software engineering, preferably within a DoD environment.
  • Active or Current Secret Clearance required - Top Secret preferred.
  • Ability to work independently and collaboratively in a team environment.
  • Excellent communication and interpersonal skills at all levels, encompassing written, verbal, and face to face interactions.
  • Exceptional troubleshooting and problem-solving skills.
  • Well organized and able to work under pressure.
  • A driven individual who exemplifies a 'can-do' attitude and is happy to go the extra mile for users.

Knowledge / Skills / Abilities:

  • Excellent written and verbal communications skills are desired, as the Software Engineer will be in frequent contact with end users, CHEETAS project technical lead and be taking direction from various contract & government leads.
  • Proficiency using at least one high-level programming language (C, C#, C++, Python, Bash, Java etc.)
  • Proficiency with web application technologies, such as JBoss, Apache Tomcat, NodeJS, etc.
  • Experience with developing containers and micro-services desired.
  • Experience working with external development teams is desired.
  • Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
  • Experience using Python, R scripting, and SQL.
  • Knowledge of software design patterns and Agile Development methodologies.
  • Use of advanced Data Science techniques for Modeling and Simulation Programs a plus.
  • Knowledge of Distributed Testing and Training a plus.
  • Experience with a version control system (e.g., Git), issue/problem tracking system (e.g., Jira), team collaboration software (e.g., Confluence), continuous integration environments (e.g., Jenkins), cloud environment (e.g., Amazon Web Services (AWS), Microsoft Azure), and virtualization platforms (e.g., VMWare).
  • The Software Engineer must have the ability to work closely with other engineers to develop the best technical design and approach for new product development.

ADDITIONAL QUALIFICATIONS

  • The preferred candidate will have experience working in government/defense labs and their computing restrictions and have experience with extracting, transforming, and load process for T&E data.
  • Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC), and Distributed Testing and Training is a plus.
  • Experience working with major DoD Acquisition programs such as Joint Strike Fighter (JSF) or Missile Defense Agency (MDA) is a plus.
  • Knowledge of DoD Cybersecurity policies is a plus.


KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.