Cloud DevOps Developer - MLSpace Integration

Reposted 15 Days Ago
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Reston, VA
In-Office
Mid level
Software
The Role
The Cloud DevOps Developer will customize AWS MLSpace for integration with agency infrastructure, develop CI/CD pipelines, and implement cloud architecture adhering to Zero Trust principles.
Summary Generated by Built In
Overview:
Red Arch Solutions is seeking a Cloud DevOps Developer to join our dynamic team working with a federal agency in Reston, VA. The Cloud DevOps Developer will be responsible for customizing an AWS MLSpace-based analytic environment for integration with the agency's cloud-based enterprise infrastructure. The ideal candidate will have significant knowledge of AWS data-related and ML/AI services, OpenShift/Kubernetes, CI/CD pipelines and demonstrable experience in developing scalable, efficient cloud solutions. The candidate must be a proven high performer/self-starter who can rapidly acquire expert knowledge of AWS MLSpace and Zero Trust principles to apply to development tasks. Background with MLDC and AI concepts and technologies is a plus.This position offers a unique opportunity to contribute to cutting-edge technology while supporting national security efforts
.
 Key Responsibilities: 
  • Collaborate with cross-functional teams to design, develop, and maintain custom cloud-based solutions for MLSpace integration with agency-specific enterprise services and tools.
  • Design, implement and utilize a robust, documented code configuration management system using Gitlab Ultimate that facilitates intelligent forks and merging requirements for customized code developed against an OpenSource baseline
  • Develop and implement CI/CD pipelines and automations, infrastructure as code (IaC), and continuous monitoring solutions.
  • Contribute to the design of cloud architecture that meets the agency’s performance, security, and scalability requirements, with particular consideration of Zero Trust requirements.
  • Provide high-quality documentation for all work products, to include both development-related products as well as Agile scrum reporting inputs.
 
 Required Skills and Experience: 
  • Active TS/SCI with Polygraph clearance.
  • 16 years of experience (4 years may be used in lieu of a Bachelors degree, 6 years may be used in lieu of a Masters degree)
  • Knowledge of AWS MLSpace, AWS SageMaker and AWS Bedrock for AI and machine learning integration
  • Strong experience with cloud-native development and tools, including AWS Lambda, EC2, S3, and other AWS services.
  • Proficiency in Python and the ability to develop, deploy, and maintain Python-based cloud applications as well as front-end REACT web-based UI applications.
  • Experience with containerization and scaled deployments using OpenShift/Kubernetes
  • Familiarity with AI/ML tools and frameworks such as TensorFlow, PyTorch, or SageMaker.
  • Experience in developing Infrastructure as Code (IaC) using tools like Terraform or Ansible.
  • Significant experience with CI/CD pipelines and tools such as GitLab CI, Jenkins, Artifactory and automated security scanning and testing frameworks.
  • Strong understanding of Linux CLI, cloud-based networking, and systems administration.
  • Excellent problem-solving skills and the ability to troubleshoot cloud and infrastructure issues.
  • Excellent communication skills
  • Cloud O&M administration knowledge/experience 
  • Experience with AWS cloud resources (Cert preferred but not required to start)

 Desired Skills: 
  • Knowledge and experience with AWS MLSpace
  • Experience with Gitlab Ultimate for code management, Agile Scrum-based project management and documentation.
  • Experience with Splunk for data collection and monitoring.
  • Knowledge of Elasticsearch and other log management solutions.
  • Experience in working with Log Management tools for secure and efficient logging.
  • Knowledge of Zero Trust principles
  • Knowledge of and experience supporting the Machine Learning Development Cycle (MLDC) #CJ

Top Skills

Ansible
Artifactory
AWS
Ci/Cd
Elasticsearch
Gitlab Ci
Jenkins
Kubernetes
Linux
Openshift
Python
PyTorch
React
Sagemaker
Splunk
TensorFlow
Terraform
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The Company
HQ: Columbia, MD
48 Employees
Year Founded: 2004

What We Do

Red Arch Solutions is a premier U.S. small business providing its customers with state-of-the-art tactical and strategic intelligence, systems, and software engineering solutions, solving some of the most pressing and unique intelligence community challenges related to National Security.

Our employees are exceptionally skilled professionals; individuals who are dedicated to collecting, analyzing, creating and engineering the best solutions in support of critical missions. Red Arch Solutions takes pride in the success of our customers. The depth of our engineers’ experience combined with our breadth of exposure across the intelligence community enables us to provide value added, synergistic analytical and engineering support.

Unique to Red Arch Solutions is the focus on its employees. Our guiding principle is “People First.” We offer employees career mobility and stability, work-life balance flexibility, and individualized career paths. The loyalty of highly trained, skilled professionals is our key corporate asset.

Red Arch Solutions is an Equal Opportunity Affirmative Action Employer.

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