Sr Cloud Engineer with Security Clearance
4 weeks ago
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 provides technical leadership and delivers 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
Duties include developing innovative approaches and solutions, using non-quantitative tools and guidelines from past experiences
This role provides execution guidance and practical engineering support to mission teams working with the strategic guidance from the Cloud Engineering Lead
This role focuses on the development, design and integration of MDM or entity resolution capabilities within the context of a broader cloud-based data architecture
Basic Qualifications 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
Candidate must have a Bachelors degree with 12-15 y ears of prior relevant experience, or a Masters Degree with 10-13 years of relevant experience
Candidate must have an active TS/SCI with polygraph Candidate must be a US Citizen Preferred 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
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