Cloud Software Engineer

GRVTY • Annapolis Junction, MD

2d • $170,000 - $200,000

About The Position

GRVTY is seeking a Cloud Software Engineer with an active TS/SCI with Polygraph clearance to join a project in Annapolis, Maryland. The engineer develops, maintains, and enhances complex Big-Data Cloud systems based on documented requirements, contributing to back-end processing, analysis, and indexing. The role applies expertise in cloud computing, Hadoop ecosystem technologies, Java applications, distributed computing, information retrieval, and object-oriented design. The engineer may work individually or as part of a team; reviews and tests software components against design requirements; documents test results; resolves software problem reports; and uses development and design methodologies appropriate to the environment. The position also contributes to system design, including hardware/software trade-offs, software reuse, COTS/GOTS decisions, and analysis and synthesis of requirements from system level to individual software components.

The position requires extensive full-stack JavaScript experience with Node.js and TypeScript. The role involves cloud and distributed systems, information assurance, multi-node management and installation, data ingestion and analysis, debugging and profiling, and experience with SIGINT collection disciplines and related applications.

Requirements

• Active TS/SCI with Polygraph clearance.
• Eight years of software engineering experience in programs and contracts of similar scope, type, and complexity, including two years in programs utilizing Big-Data Cloud technologies and/or distributed computing.
• Bachelor's degree in Computer Science or a related discipline from an accredited college or university; four years of cloud software engineering experience on projects with similar Big-Data systems may substitute for the bachelor's degree.
• Two years of Cloud and Distributed Computing Information Retrieval experience.
• One year of experience implementing code that interacts with Cloud Big Table.
• One year of experience implementing code that interacts with Cloud Distributed File System.
• One year of experience implementing complex MapReduce analytics.
• One year of experience implementing code that interacts with Cloud Distributed Coordination Frameworks.
• Experience with Computer Network Operations, including utility computing, network management, virtualization (VMware or VirtualBox), and cloud computing.
• Experience managing and installing cloud and distributed computing across multiple nodes; experience with Python, CFEngine, Bash, Ruby, or related technologies.
• Experience securing cloud-based and distributed applications using standard techniques such as firewalls and PKI certificate and server authentication, including experience with corporate authentication services.
• Experience with object-oriented design and programming, Java, Eclipse or a similar development environment, Maven, and RESTful web services.
• Experience with one or more cloud and distributed computing technologies, such as YARN, J2EE, MapReduce, ZooKeeper, HDFS, HBase, JMS, concurrent programming, or multi-node implementation and installation.
• Experience with one or more information retrieval technologies, such as HDFS, HBase, Apache Lucene, Apache Solr, or MongoDB.
• Experience ingesting, parsing, and analyzing disparate data sources and formats, including XML, JSON, CSV, binary formats, sequence or map files, and Avro or related technologies.
• Experience with aspect-oriented design and development.
• Experience debugging and profiling cloud and distributed installations, including JVM memory management and profiling Java applications.
• Experience with UNIX/Linux and CentOS; the posting also lists Linux/RedHat.
• Experience with at least one SIGINT collection discipline, such as FORNSAT, cable, terrestrial/microwave, overhead, or ELINT.
• Experience with geolocation, emitter identification, and signal applications; joint program collection platforms and dataflow architectures; and signals characterization analysis.
• Experience with configuration management tools such as Subversion, ClearQuest, or Razor.
• Extensive full-stack JavaScript experience with Node.js and TypeScript.

Nice To Haves

• Master's degree in Computer Science or a related discipline may substitute for two years of experience.
• Cloudera Certified Hadoop Developer certification may substitute for one year of cloud experience.
• In-depth knowledge of Information Retrieval and ability to assist the software development team in designing, developing, and testing Cloud Information Retrieval.
• Ability to implement complex workflows that manage Cloud MapReduce analytics.
• Ability to implement code that interacts with Cloud Distributed Coordination Frameworks.
• Experience overseeing software development tasks and ensuring work is completed within the constraints of the applicable development process.
• Ability to recommend improvements to documentation and software development process standards.

Responsibilities

• Develop, maintain, and enhance complex Big-Data Cloud systems based on documented requirements.
• Contribute to back-end processing, analysis, and indexing.
• Review and test software components for adherence to design requirements and document test results.
• Resolve software problem reports.
• Apply software development and design methodologies appropriate to the development environment.
• Provide input to system design, including hardware/software trade-offs, software reuse, COTS/GOTS use, and requirements analysis and synthesis.
• Assist in designing, developing, and testing Cloud Information Retrieval.
• Implement complex workflows that manage Cloud MapReduce analytics.
• Oversee software development tasks and ensure work follows the constraints of the applicable development process.
• Recommend improvements to documentation and software development process standards.

Benefits

• Medical, dental, and vision coverage.
• Health Savings Account with company contribution.
• Annual paid time off and paid holidays.
• Paid parental leave.
• 401(k) with company match.
• Training and development opportunities.
• Award programs.
• Company-sponsored events.
• Benefits supporting healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level