ShorePoint, Inc
Senior Cloud Engineer (TS/SCI with CI Polygraph)
Chantilly, Virginia, USA · Senior · full-time
No sponsorship$53k-$800kDetected 56 days ago
TypeScriptPythonBashPowerShellGitAWSGCPAzureCloud PlatformsKubernetesTerraformAnsibleJenkinsDevOpsCybersecurityNetwork SecurityMicrosoft SentinelMicrosoft DefenderDetection EngineeringCisco
About the role
- ShorePoint subscribes to a work hard, play hard mentality and celebrates individual and company successes.
- Cloud Engineer position leverages modern DevOps tools and practices while collaborating across teams to solve technical challenges.
- This is a unique opportunity to shape the growth, development and culture of an exciting and fast-growing company in the cybersecurity market.
Responsibilities
- Who we re looking for: We are seeking a Senior Cloud Engineer to design, implement and manage secure cloud infrastructure in support of mission-critical operations.
- This role supports complex cloud environments with a strong focus on security monitoring, threat detection and cloud security best practices.
- Write and maintain automation scripts in PowerShell, Python or Azure Command-Line Interface (CLI) and execute them using Logic Apps and Azure Functions.
- Manage cloud compute, storage, networking and database services while applying security compliance standards across the organization.
Requirements
- Bachelor s degree or 4+ additional years of IT experience in lieu of a degree.
- 5+ years of experience in cloud engineering and/or development.
- DoD 8570 IAT Level 2 certification, such as Security+ or CCNA Security or the ability to obtain it within 6 months of hire.
- Experience designing and deploying cloud-based solutions using DevOps tools such as Azure DevOps, Jenkins, GitLab or Docker.
- Experience with IaC tools like ARM templates, Terraform, Ansible or Bicep.
- Familiarity with cloud template technologies including GitHub Enterprise and architecture frameworks such as TOGAF or Zachman.
- Experience automating workflows using scripting tools such as PowerShell, Bash, Python, YAML or JSON.
- Experience meeting security requirements in the Sponsor s environment or similar complex environments.
- Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes through critical thinking.
- Familiarity with container technologies such as Kubernetes and experience with Google Cloud Platform (GCP).
Skills
- Troubleshoot and resolve issues related to specific cloud environments while implementing cloud security best practices.
- Configure network security groups (NSGs), application gateways and other network controls to protect cloud resources.
- Work with all stakeholders to ensure complete and functioning systems that meet all requirements.
Compensation
- $53k-$800k
Benefits
- In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers.
- Highlighted benefits offered: 144 hours of PTO, 11 holidays, 85% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement and more.
Company info
- ShorePoint is a fast-growing, industry recognized and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data.
- We are passionate about our mission and going above and beyond to deliver for our customers.
- We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion and a focus on giving back to our community.
- We are committed to the belief that our team members do their best work when they are happy and well cared for.
Visa & Work Authorization
- Experience meeting security requirements in the Sponsor s environment or similar complex environments
Apply directly at ShorePoint, Inc →Create a free account for alerts like thisView ShorePoint, Inc immigration profile
This listing is sourced directly from ShorePoint, Inc's careers page and normalized into a canonical job model.