Cloud Software Engineer 2 w/ 5 yers experience Information Technology Hanover, MD

REQUIRED :

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TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS / SCI W / FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)

This position will have a primary focus of supporting all aspects of agile software design and development for capabilities that are integrated into a Data Warehouse.

Duties include development of new capabilities, testing, optimization and performance tuning, operation, and sustainment functions.

Core Competencies and Skills :

• 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)

Labor Category Skills / Requirements

• Provide cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis / resolution. Skills :
• 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++.
• Shall have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, 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.

Qualifications :

A 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 possess the Hadoop / Cloud Developer Certification.

Desired :

• 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.

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