Cloud Software Engineer CSWE2

Lifecycle Corporation; Fort Meade (MD); On-site; USD 100,000 - 130,000; Full time

Job summary

Lifecycle Corporation seeks a Cloud Software Engineer in Fort Meade, Maryland, to develop and enhance complex Big-Data Cloud systems. Candidates must have a strong background in Cloud computing technologies, with a focus on software engineering experience and specific qualifications in Data Retrieval and Distributed Computing.

Offering an environment for collaborative and independent work, this role demands expertise in Cloud technologies and competitive problem-solving abilities to drive effective solutions.

Qualifications

• Eight (8) years of software engineering experience required.
• Two (2) years in Big-Data Cloud technologies.
• Experience with Cloud and Distributed Computing Information Retrieval.

Responsibilities

• Develop and maintain Big-Data Cloud systems based on requirements.
• Contribute to back-end processing and software testing.
• Implement code that interacts with Cloud Distributed File Systems.

Skills

Cloud Computing

Hadoop Eco-System

Java

Python

Elastic Search

DevOps

Angular

Education

Bachelor's degree in Computer Science or related discipline

Tools

Cloudera Certified Hadoop Developer

VMWare

Eclipse

Job description

The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

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

Requirements

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:
   1. Two (2) years of Cloud and Distributed Computing Information Retrieval (IR).
   2. One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
   3. One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
   4. One (1) year of experience with implementing complex MapReduce analytics.
   5. One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
3. Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing 2.
4. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
5. 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).
6. Experience with Information Technology:
   1. Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
   2. 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.
   3. 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
   4. Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
   5. Aspect Oriented Design and Development
   6. Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
   7. UNIX/LINUX, CentOS
7. Experience with SIGINT:
   1. Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT)
   2. Geolocation, emitter identification, and signal applications. Joint program collection platforms and dataflow architectures; signals characterization analysis
8. Experience with Other:
   1. CentOS and Linux/RedHat
   2. Configuration management tools such as Subversion, ClearQuest, or Razor

Optional Skills

• Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval (U)
• Implement complex workflows that manage Cloud MapReduce analytics (U)
• Implement code that interacts with Cloud Distributed Coordination Frameworks (U)
• Oversee one or more software development tasks and ensures the work is completed in accordance with the constraints of the software development process being used on any particular project (U)
• Make recommendations for improving documentation and software development process standards (U)
• Serve as a subject matter expert for Cloud Computing and corresponding technologies including Hadoop assisting the software development team in designing, developing and testing Cloud Computing Systems (U)
• Debug problems with Cloud based Distributed Computing Frameworks (U)
• Manage multi-node Cloud based installation (U)
• Delegate programming and testing responsibilities to one or more teams and monitor their performance (U)
• Select the software development process in coordination with the customer and system engineering (U)
• Recommend new technologies and processes for complex cloud software projects (U)
• Ensure quality control of all developed and modified software (U)
• Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data (U)
• Make recommendations for improving documentation and software development process standards