Cloud Software Engineer 3 - I

The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

Needs proficiency in the following tech stack:

• Java
• Spring Boot
• MongoDB
• Kubernetes
• Rancher RKE2
• Kalka
• AWS
• RHEL
• LLMs
• S3/Minio
• Elasticsearch
• Nifi, * Provide in-depth knowledge of Information Retrieval; assisting 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 ensures the work is completed in accordance with the constraints of the software development process being used on any particular project
• 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

Need deep, demonstrated expertise in managing large, disturbed Kubernetes clusters, Large MongoDB clusters, or migrated large systems to AWS in a hybrid architecture. Knowledge and demonstrated experience in very large, complex systems developing Java Spring Boot application services.

Requirements

Mandatory Skills:

Twelve years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required. Bachelors degree in Computer Science or related discipline from an accredited college or university is required; four years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing. Four years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one year of Cloud experience.

The following Cloud related experiences are required:

• Two years of Cloud and/or Distributed Computing Information Retrieval (IR).
• One year of experience with implementing code that interacts with implementation of Cloud Big Table.
• One year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
• One year of experience with implementing complex MapReduce analytics.
• One year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• One year of experience in architecting Cloud Computing solutions
• One year of experience in debugging problems with Cloud based Distributed Computing Frameworks
• One year of experience in managing multi-node Cloud based installation

Experience in Computer Network Operations:

• Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing
• 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 in Information Technology:

• Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
• 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.
• 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
• Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
• Aspect Oriented Design and Development
• Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
• UNIX/LINUX, CentOS

Experience in SIGINT:

• Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT)
• Geolocation, emitter identification, and signal applications.
• Joint program collection platforms and dataflow architectures; signals characterization analysis

Experience with Other:

• CentOS, Linux/RedHat,
• Configuration management tools such as Subversion, ClearQuest, or Razor.

• 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay

• PTO: 20 days per year
• Healthcare, dental, vision, Free for a single participant
• $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.