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USD 150000–250000/yr

Software Engineer (Cloud) - FULLY CLEARED with POLYGRAPH REQUIRED

United States·Fort MeadeSoftware & Database Engineersmid

Software EngineerSoftware Engineering

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Quick Summary

Overview

Front-End Web Development Languages: JavaScript (and eventually some Typescript), React/JSX Back-End Development Languages: node.js/Javascript, Rust (for high-performance or secure portions), Python,

Technical Tools

ansibleelasticsearchgrafanahelmjavajavascriptjestkafkakubernetesmongodbmysqlpythonreactredisrubyrustterraformtypescriptconcurrencylinux

Front-End Web Development Languages: JavaScript (and eventually some Typescript), React/JSX

Back-End Development Languages: node.js/Javascript, Rust (for high-performance or secure portions), Python, shell script

Micro-services architecture: Kubernetes, Helm Charts, Micro-Services deployment patterns, Service-mesh, Multi-site applications, Load Balancing topologies, Cloud Migration

Tech-Stack Familiarity Architecture: NiFi, Testing frameworks (JEST), Grafana, InfluxDb

Elasticsearch, Redis, mysql, Apache Superset, RabbitMQ/Kafka/Message Fabrics, Ansible/Salt,Terraform (for lane development), Web-Sockets, JBLOCKS, CASPORT, Neo4j, Agency Security Labels(CAMKEY, LAC, COI, etc.)

Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

Must be a US Citizen.

Must have TS/SCI clearance w/ active polygraph.

Twelve (12) years of direct/relevant experience.

Bachelor’s degree in computer science or related discipline from an accredited college or university is required. Four (04) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a Bachelor’s degree.

Four (04) years of experience in programs utilizing Big-Data cloud technologies and/or Distributed Computing.

Master’s in Computer Science or related discipline from an accredited college or university may be substituted for two (02) years of experience.

Cloudera Certified Hadoop Developer certification may be substituted for one (01) year of Cloud experience.

Two (02) years of Cloud and/or Distributed Computing Information Retrieval (IR).

One (01) year of experience with implementing code that interacts with implementation of Cloud Big Table.

One (01) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.

One (01) year of experience with implementing complex MapReduce analytics.

One (01) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.

One (01) year of experience in architecting Cloud Computing solutions

One (01) year of experience in debugging problems with Cloud based Distributed Computing Frameworks

One (01) year of experience in managing multi-node Cloud based installation

Experience with Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing.

Experience with Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.

Experience in Information Assurance: Securing Cloud Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate and Server Authentication with experience in Corporate authentication service(s).

Experience with Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.

Experience with Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.

Experience with Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB.

Experience with Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies 20. e. Aspect Oriented Design and Development

Experience in Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications

Experience with CentOS, Linux/RedHat; Configuration management tools such as Subversion, ClearQuest, or Razor.

Experience with FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT.

Experience with Geolocation, emitter identification, and signal applications.

Experience with Joint program collection platforms and dataflow architectures; signals characterization analysis

Provide in-depth knowledge of Information Retrieval, assist the software development team in designing, developing and testing Cloud Information Retrieval

Implement complex workflows that manage Cloud MapReduce analytics

Implement code that interacts with Cloud Distributed Coordination Frameworks

Oversee one or more software development tasks and ensured the work is completed in accordance with the constraints of the software development process being used on any particular projects.

Make recommendations for improving documentation and software development process standards

Serve as a subject matter expert for Cloud Computing and corresponding technologies including Hadoop assisting the software development team in designing, developing and testing Cloud Computing Systems

Debug problems with Cloud based Distributed Computing Frameworks

Manage multi-node Cloud based installation

Delegate programming and testing responsibilities to one or more teams and monitor their performance

Select the software development process in coordination with the customer and system engineering

Recommend new technologies and processes for complex cloud software projects

Ensure quality control of all developed and modified software

Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data

Make recommendations for improving documentation and software development process standards