Cloud DevOps Developer MLSpace Integration

• 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 agencys 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.

• Active TS/SCI with Polygraph clearance.
• 16years 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)

• 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

The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including but not limited to level of position job responsibilities geographic location scope of relevant work experience educational background certifications contract-specific affordability organizational requirements alignment with local internal equity as well as alignment with market data.

Red Arch Solutions Benefits Snapshot:

• 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
• HaloScripts Concierge prescription medication service
• Generous PTO.
• 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
• Annualized bonus compensation.
• Spot bonuses for hard work.
• Tuition reimbursement.
• 529 College Saving Plan.
• College Loan Pay Back Program.
• 11 Paid Federal Holidays
• Generous Referral Bonuses.

Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

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