11 часов назад
Cloud Design Engineer, Level 3 (Cloud Computing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cloud Design Engineer, Level 3 (Cloud Computing): Developing and enhancing complex Big-Data cloud systems with an accent on Hadoop, distributed computing, information retrieval, and Java-based backend processing. Focus on architecting cloud solutions, implementing MapReduce workflows and distributed coordination, managing multi-node installations, and debugging large-scale data retrieval systems.
Location: Annapolis Junction, Maryland, United States; on-site
Company
develops complex Big-Data cloud and distributed computing systems.
What you will do
- Design, develop, maintain, and enhance complex Big-Data cloud systems and backend processing components.
- Implement Cloud Information Retrieval, MapReduce analytics, distributed coordination, and distributed file-system integrations.
- Architect solutions for efficiently processing, indexing, and retrieving large volumes of data.
- Manage multi-node cloud installations and debug distributed computing frameworks.
- Oversee software development tasks, select appropriate development processes, and improve engineering standards and documentation.
- Delegate programming and testing responsibilities while ensuring software quality and adherence to requirements.
Requirements
- At least 12 years of software engineering experience on programs and contracts of similar scope, type, and complexity.
- Bachelor’s degree in Computer Science or a related discipline, or an approved experience substitution; a Master’s degree may substitute for two years of experience.
- At least four years of experience with Big-Data cloud technologies or distributed computing, including two years with cloud or distributed-computing information retrieval.
- Five years of experience with Java, object-oriented design and programming, Maven, RESTful web services, and a development environment such as Eclipse.
- Experience with Hadoop technologies such as YARN, MapReduce, Zookeeper, HDFS, HBase, JMS, concurrent programming, or multi-node implementations; experience with Lucene, Solr, or MongoDB is also required.
- Active TS/SCI clearance with an appropriate current polygraph is required, along with the ability to receive privileged access rights.
Nice to have
- Cloudera Certified Hadoop Developer certification.
- Experience with Python, CFEngine, Bash, Ruby, virtualization, network management, and multi-node installation.
- Experience securing cloud and distributed applications with firewalls, PKI certificates, server authentication, and corporate authentication services.
- Experience with SIGINT collection disciplines, geolocation, emitter identification, signal applications, and dataflow architectures.
- Experience with CentOS, Linux/Red Hat, Subversion, ClearQuest, or Razor.
Culture & Benefits
- Employer-paid medical, dental, and vision coverage.
- 401(k) or IRA retirement plan with matching contributions.
- Basic, voluntary, and AD&D life insurance.
- Paid vacation, sick leave, and public holidays.
- Short- and long-term disability coverage, training and development, and an employee assistance program.
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