Software Engineer (Cloud) - FULLY CLEARED with POLYGRAPH REQUIRED

Job Description

Job Description

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.

Required:

• 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

These Qualifications Would be Nice to Have:

• 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

The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

The benefits package:

• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA

• Comprehensive Dental insurance

• Vision with 80% employer paid premium

• Employer paid Life insurance 100%

• Employer paid Short-term and Long-term disability 100%

• Annual training, continued education, and professional memberships reimbursement

• Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation

• Annual reimbursement for technology i.e. phones, computers, printers, etc.

• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)

The environment and perks:

• Professional development investment and paid time off for training

• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii.

• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers

• Leadership Team engagement and mentorship

• Performance Recognition Program

• Complimentary branded apparel

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Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI’s equal employment opportunity policy to View email address on us.fitly.work.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.