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Cloud Devops Engineer (AWS, data security, Jira/Confluence) - Remote | W2 only

Salary undisclosed

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Minimum of 9 years of experience in a Cloud DevOps Engineering role with specific experience in AWS
Strong communication skills with the ability to run client meetings and engage with internal, and external stakeholders

Manage and support Data Security Application: (This is the most important skill set to have for this role)
o Utilize Terraform and pipeline tools to efficiently deploy and manage data security tools and implement necessary safeguards using internal tools, AWS KMS, S3 Encryption, API gateway, and Lambda.)
o Manage Python based lambda functions
o Collaborate with other teams to ensure seamless integration and optimal functional performance of these tools.
o Advice on best security posture to security AWS services and services interactions including VPC endpoints, security controls and requirements documentation.

Project Management: (~20-25% of the role)
o Project manage tasks related to cloud compliance and data security, ensuring timely completion and adherence to project timelines.
o Follow up on remediation efforts and track progress, escalating any issues or roadblocks, as necessary.
o Issue identification using agile methodologies and tools such as Jira and Confluence
Policy Management and Testing: (~15-20% of the role)
o Update and maintain policies for data exfiltration prevention, ensuring they align with industry best practices and evolving threats.
o Test the effectiveness of these policies and implement necessary adjustments to enhance data security measures.

Review and Validate Cloud Compliance:
o Conduct thorough manual and automated reviews of our cloud infrastructure to ensure compliance with client policy and standards.
o Support operations for validating securing sensitive data and exfiltration of the same.
o Review and validate cloud compliance using various tools and frameworks such as AWS Config, CloudFormation, and CIS Benchmarks.
o Identify any compliance gaps and work with cross-functional teams to develop and implement remediation plans.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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