What are the responsibilities and job description for the Cloud Software Engineer 3 w/ 8 years experience position at Onyx Point, Inc.?
REQUIRED:
TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)
Highly Desired:
Willingness to support on-call status rotated throughout the team
Familiarity with Git, Kubernetes, Docker, or comparable DevOps experience
Familiarity with Spring Framework/Spring Batch
Familiarity with databases such as MongoDB and Elasticsearch
Familiarity with test frameworks such as Junit and Mockito
Familiarity with UI frameworks such as ReactJS
Familiarity with agency data flow formats and standards
Familiarity with analyst toolkit applications
Recent work experience with Java (Maven) with some Python
Recent work experience with Streaming data frameworks (Flink, Spring Cloud Data Flow)
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 eight (8) 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 six(6) 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, 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 five (5) 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.
• Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification.
• In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics.
• Experience deploying applications in a cloud environment.
• Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines. 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. 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.
