Cloud Software Engineer 2

  • Annapolis, MD
  • Posted 8 hours ago | Updated 8 hours ago

Overview

On Site
Full Time

Skills

SaaS
Management
Software Engineering
Open Source
NoSQL
Apache HBase
MapReduce
Apache Hive
Apache Pig
Distributed File System
HDFS
JSON
RESTful
Unix
Red Hat Linux
Operating Systems
Systems Analysis/design
Object-Oriented Programming
COTS
System Integration
Software Testing
Test Plans
Test Scripts
Technical Writing
SOW
Big Data
Scalability
Facebook
Multilingual
Multimedia
Video
Semantics
Unstructured Data
Artificial Intelligence
Algorithms
Taxonomy
Analytical Skill
Linguistics
Social Networks
Ontologies
Interfaces
Specification Gathering
Analytics
Computer Science
Mathematics
Information Systems
Requirements Analysis
Software Development
Evaluation
Testing
Java
C
Apache Hadoop
Cloud Computing
Kubernetes
Amazon Web Services
DevOps
Security Clearance

Job Details

We're searching for talented individuals who provide intelligence, engineering, and mission management expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us!

Job Description:
  • Experience deploying applications in a cloud environment.
  • Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)
  • Experience designing and developing automated analytic software, techniques, and algorithms.
  • Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
  • Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
  • Experience with linguistics (grammar, morphology, concepts).
  • Experience developing and deploying analytics that discover and exploit social networks.
  • Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
  • Experience developing and deploying analytics within a heterogeneous schema environment.

The Level 2 Cloud SWE shall possess the following capabilities:
  • Shall have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Acumulo, Big Table, etc.
  • Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
  • Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS)
  • Shall have demonstrated work experience with Serialization such as JSON and/or BSON
  • Shall have demonstrated work experience developing Restful services
  • Shall have at least three (3) years of experience developing software for UNIX/Linux (Redhat versions 3-5) operating systems.
  • Shall have demonstrated work experience in the requirements analysis and design of at least one Object Oriented system.
  • Shall have demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
  • Shall have at least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts.
  • Shall have demonstrated technical writing skills and shall have generated technical documents in support of a software development project.
  • In addition, the candidate will have demonstrated experience, work or college level courses, in at least two (2) of the desired characteristics

Desired: (These desired qualities are representative of those types of experience sought for this labor category, but are not limited to those listed herein. Target desired qualifications will be listed in each task order Statement of Work)
  • Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)
  • Experience designing and developing automated analytic software, techniques, and algorithms.
  • Experience developing and deploying: analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies, including speech, text, image and video exploitation; analytics that function on massive data sets, for example, more than a billion rows or larger than 10 Petabytes; analytics that employ semantic relationships (i.e., inference engines) between structured and unstructured data sets; analytics that identify latent patterns between elements of massive data sets, for example more than a billion rows or larger than 10 Petabytes; analytics that employ techniques commonly associated with Artificial Intelligence, for example genetic algorithms.
  • Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
  • Experience with linguistics (grammar, morphology, concepts).
  • Experience developing and deploying analytics that discover and exploit social networks.
  • Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
  • Experience developing and deploying analytics within a heterogeneous schema environment.

Qualifications:
  • Bachelor's Degree in Computer Science or in a related technical field is highly desired which will be considered equivalent to two (2) years of experience. A Master's degree in a Technical Field will be considered equivalent to four (4) years of experience. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
  • Shall have at least five (5) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
  • Shall have at least four(4) years of experience developing software with high level languages such as Java, C, C

Certifications Required:

Shall possess one of the following Hadoop/Cloud Developer Certification:
  • Certified Kubernetes Application Developer (CKAD)
  • Elastic Certified Engineer
  • AWS Certified Developer-Associate
  • AWS DevOps Engineer Professional

Position requires active Security Clearance with appropriate Polygraph
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.