Cloud Engineer Engineering - Reston, VA at Geebo

Cloud Engineer

This role requires an experienced Cloud Engineer with significant DevOps experience.
This role designs, develops, and implements a Cloud-based Master Data Management (MDM) architecture that software development teams can leverage to integrate with their services.
This role works directly to implement teams to provide technical guidance and implementation priorities related to cloud implementation.
Primary
Responsibilities:
This role requires an experienced Cloud Engineer with significant DevOps experience.
Design, develop, and implement a Cloud-based Master Data Management (MDM) architecture that software development teams can leverage to integrate with their services.
Work directly to implement teams to provide technical guidance and implementation priorities related to cloud implementation.
Provide technical leadership and deliver an innovative product, service, or a combination of products and services that address a customer's specific requirements.
Support the development of enterprise software solutions within AWS.
Develop innovative approaches and solutions, using non-quantitative tools and guidelines from past experiences.
Provide execution guidance and practical engineering support to mission teams working with the strategic guidance from the Cloud Engineering Lead.
Focus on the development, design and integration of MDM or entity resolution capabilities within the context of a broader cloud-based data architecture.
Requirements Basic Qualifications:
Candidate must have an active TS/SCI with a Full Scope Polygraph Candidate must have a Bachelor's degree with 12-15 years of prior relevant experience, or a Master's Degree with 10-13 years of relevant experience.
Will consider experience in lieu of a degree Extensive experience in Cloud Technologies (specifically AWS) and infrastructure -as-code concepts Excellent oral and written communications skills Extensive experience interacting with cross functional project teams including Software Development, System Engineering/ Verification and Validation, Security, Compliance and Quality Assurance Extensive experience working in Agile, SAFe, and Scrum environments Experience working with DevOps CI/CD related technologies and deployment automation techniques (e.
g.
Ansible, Git, Jenkins, Puppet, Docker, Confluence, Sonar Lint, and Junit) Extensive knowledge of Software Configuration Management life cycle deliverables.
Qualifications:
AWS certifications Experience working with large scale data technologies (e.
g.
AWS Aurora, Elasticsearch, etc.
) Experience working within a low to high development/deployment environment Recommended Skills Agile Methodology Ansible Architecture Cloud Technologies Communication Confluence Estimated Salary: $20 to $28 per hour based on qualifications.

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