Cloud Software Engineer 2 w/ 5 yers experience
3 days ago
This position will have a primary focus of supporting all aspects of agile software design and development for a 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 Cl/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, 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 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: (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):
•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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