Cloud Software Engineer 2 - II
About the role
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.
Responsibilities
- Experience with at least a subset of the following: Devops, Elastic Search, NiFi, Python, Java/Spring Boot, Angular
- Eight years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing.
- Two years of Cloud and 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.
- Experience with 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 with 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 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 with SIGINT: Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis Experience with Other: CentOS and Linux/RedHat Configuration management tools such as Subversion, ClearQuest, or Razor
Requirements
Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelor's 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.
Qualifications
- Experience with at least a subset of the following: Devops, Elastic Search, NiFi, Python, Java/Spring Boot, Angular
- Eight years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing.
- Two years of Cloud and 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.
- Experience with 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 with 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 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 with SIGINT: Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis Experience with Other: CentOS and Linux/RedHat Configuration management tools such as Subversion, ClearQuest, or Razor
Skills
- Devops
- Elastic Search
- NiFi
- Python
- Java/Spring Boot
- Angular
- Cloud Computing
- Hadoop Eco-System
- Distributed Computing
- Information Retrieval (IR)
- Object Oriented Design
- 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
- 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)
- 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
- SIGINT
- Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT)
- Geolocation, emitter identification, and signal applications
- CentOS and Linux/RedHat
- Configuration management tools such as Subversion, ClearQuest, or Razor
Benefits
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.