Cloud Software Engineer 2 (NWG - 019)

Fort Meade, MD, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Systems Engineering
  • High Performance Computing
  • Data Analysis
  • Software Engineering
  • SaaS
  • Big Data
  • Computer Science
  • Cloudera
  • Apache Hadoop
  • Investor Relations
  • International Relations
  • Distributed File System
  • Analytics
  • Collaboration
  • Network Operations
  • Network Administration
  • Virtualization
  • VMware
  • VirtualBox
  • CFEngine
  • Bash
  • Ruby
  • Information Assurance
  • Firewall
  • PKI
  • Authentication
  • Information Technology
  • OOD
  • Eclipse
  • Apache Maven
  • RESTful
  • Web Services
  • J2EE
  • MapReduce
  • Apache ZooKeeper
  • JMS
  • Concurrent Programming
  • Distributed Computing
  • Information Retrieval
  • HDFS
  • Apache HBase
  • Apache Lucene
  • Apache Solr
  • MongoDB
  • XML
  • JSON
  • Computerized System Validation
  • Apache Avro
  • Aspect-oriented Programming
  • Debugging
  • Cloud Computing
  • Java Virtual Machine (JVM)
  • Management
  • Unix
  • Linux
  • Signals Intelligence
  • Cabling
  • Microwave
  • ELINT
  • Data Flow
  • CentOS
  • Red Hat Linux
  • Configuration Management
  • Apache Subversion
  • IBM Rational ClearQuest
  • Razor
  • DevOps
  • Elasticsearch
  • Apache NiFi
  • Python
  • Java
  • Spring Framework
  • AngularJS
  • Law

Summary

Description

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI w/ Polygraph required.

Mandatory Experience:

1. Eight (8) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing. Bachelors degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
2. The following Cloud related experiences are required:
3. a. Two (2) years of Cloud and Distributed Computing Information Retrieval (IR).
4. b. One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
5. c. One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
6. d. One (1) year of experience with implementing complex MapReduce analytics.
7. e. One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
8. Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing 2. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
9. Experience with Information Assurance: Securing Cloud Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate and Server Authentication with experience in Corporate authentication service(s)
10. Experience with Information Technology:
11. a. Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
12. b. Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase , JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
13. c. Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB
14. d. Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
15. e. Aspect Oriented Design and Development
16. f. Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
17. g. UNIX/LINUX, CentOS
18. Experience with SIGINT:
19. a. Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT)
20. b. Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis
21. Experience with Other:
22. a. CentOS and Linux/RedHat
23. b. Configuration management tools such as Subversion, ClearQuest, or Razor


Notes:

Experience with at least a subset of the following: Devops, Elastic Search, NiFi, Python, Java/Spring Boot, Angular

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.
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.
  • Dice Id: 90906624
  • Position Id: 69fc6d8ff3665d903b7abe245cdeea7f
  • Posted 12 hours ago
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