Cloud Software Engineer 3 - TS/SCI w/Poly

Location

Laurel, MD | United States

Job description

Your Impact:

• This opening is for a Cloud Software Engineer to perform requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution at a high level of proficiency and independence.
• The candidate is expected to communicate directions and provide guidance to more junior programmer/analysts, as required.
• Cloud Software Engineers must be adept at developing solutions which integrated or extended COTS or GOTS products and may be responsible for evaluating project needs, determining tasks and durations, and generation and reviewing designs for technical accuracy, completeness.

Responsibilities:

• Willingness to be a committer/contributor to open source applications.
• Java programming for distributed systems, with experience in networking and multi-threading.
• Apache Hadoop
• Apache Accumulo
• Apache NiFi
• Agile development experience
• Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g. Python, Ruby, Perl, etc.)
• Experience with source code management practices and tools
• Enabling tools: Git, Maven, Jira
• Continuous Integration/Continuous Testing: Bamboo, Jenkins, GitLab, CI/Pipelines
• Continuous Monitoring: ELK Stack (ElasticSearch, Logstash and Kibana), Nagios
• Familiarity with microservices software development technique and container-orchestration (e.g. Kubernetes)

Here’s What You’ll Need: 

• OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc
• Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
• Hadoop Distributed File System (HDFS)
• serialization such as JSON and/or BSON
• developing RESTful services.
• Requirements analysis and design of at least one Object Oriented system
• Developing solutions integrating and extending FOSS/COTS products
• Technical writing skills and have generated technical documents in support of a software development project.

Preferred:

• 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.

Here’s What You’ll Need:

Minimum Education:

• 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 a similar degree will be considered as a technical field.
• Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification

Minimum Years of Experience:

• At least eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing and problem diagnosis/resolution.
• At least six (6) years of experience developing software with high level languages such as Java, C, C++
• At least five (5) years of experience developing software for UNIX/Linux (Redhat version 3-5) operating systems.
• At least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts.

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