Cloud Software Engineer 3 (NWG - 024)

SageCor Solutions; Fort Meade (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

SageCor Solutions seeks an experienced software engineer with TS/SCI w/ poly to drive cloud-based data processing initiatives. You will contribute to architecture, develop distributed systems, and optimize multi-node deployments in a high-security context.

Required are extensive Java/Python experience, cloud analytics, and proficiency with Hadoop ecosystems, RESTful services, and Kubernetes. Fort Meade area position with strong security requirements.

Qualifications

• 12+ years software engineering in large programs with similar scope.
• Degree requirements with substitutions allowed for cloud/big-data experience.
• Proven experience with cloud-based big-data systems and distributed computing.

Responsibilities

• Design and implement cloud-based, distributed data processing solutions.
• Lead multi-node cloud installations and performance optimization.
• Collaborate on architecture decisions for cloud computing systems.

Skills

Big-Data cloud technologies

Distributed Computing

Cloud Computing

MapReduce analytics

HDFS/HBase

Java

Python

RESTful services

Containerization/Kubernetes

VS & debugging cloud installations

Education

Bachelor's degree in Computer Science or related

Advanced degree substitution options

Tools

Cloudera

Hadoop

Kubernetes

CFEngine/Shell scripting

Jenkins/Maven

Job description

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI W/ Polygraph Required.

Mandatory Skills:

• Twelve (12) 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 (4) years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing. Four (4) 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 (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
• The following Cloud related experiences are required:
• a. Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
• b. One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
• c. One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
• d. One (1) year of experience with implementing complex MapReduce analytics.
• e. One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• f. One (1) year of experience in architecting Cloud Computing solutions
• g. One (1) year of experience in debugging problems with Cloud based Distributed Computing Frameworks
• h. One (1) year of experience in managing multi-node Cloud based installation
• Experience in Computer Network Operations:
• a. Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing
• b. 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:
• a. Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
• b. 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.
• c. 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
• d. Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
• e. Aspect Oriented Design and Development
• f. Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
• 22. g. UNIX/LINUX, CentOS

• Experience in SIGINT: 1. Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) 2. Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis
• Experience with Other: 1. CentOS, Linux/RedHat, 2. Configuration management tools such as Subversion, ClearQuest, or Razor.
• Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval (U) Implement complex workflows that manage Cloud MapReduce analytics (U) Implement code that interacts with Cloud Distributed Coordination Frameworks (U) 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 (U) Make recommendations for improving documentation and software development process standards (U) 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 (U) Debug problems with Cloud based Distributed Computing Frameworks (U) Manage multi-node Cloud based installation (U) Delegate programming and testing responsibilities to one or more teams and monitor their performance (U) Select the software development process in coordination with the customer and system engineering (U) Recommend new technologies and processes for complex cloud software projects (U) Ensure quality control of all developed and modified software (U) Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data (U) Make recommendations for improving documentation and software development process standards

Notes:

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

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.