Cloud Engineer

This is a fully remote position, open to applicants in Ohio.

📋 Description

• Design, implement, and migrate secure, highly available environments within AWS and OCI, encompassing network, identity, compute, storage, database, and Kubernetes components.

• Architect and deploy compliant enclaves that satisfy government security standards, including SCCA, DoD cloud security, and FedRAMP.

• Develop and sustain infrastructure as code along with CI/CD pipelines for infrastructure, applications, and data workloads.

• Create, build, and manage Python data pipelines that ingest, validate, transform, and publish data into cloud data repositories.

• Utilize AI and LLM services, such as Amazon Bedrock, to automate operations and data workflows with validation, human oversight, and auditability.

• Implement and uphold security controls, conduct vulnerability and configuration scans including ACAS, and ensure findings are addressed.

• Monitor and optimize performance, cost, and availability; troubleshoot and resolve complex issues with minimal downtime.

• Maintain designs, diagrams, asset inventories, SOPs, and knowledge base; provide training and assistance to users and team members.

• Collaborate directly with clients and oversee delivery from design through to production support.

⛳️ Requirements

• IAT Level II certification (or equivalent), or the capability to obtain it within 30 days of the start date.

• Oracle Cloud Infrastructure Architect Associate or AWS Certified Solutions Architect – Associate (or a comparable professional-level cloud certification).

• Interim Secret clearance to commence, with the potential to acquire and maintain a Secret clearance.

• U.S. citizenship is mandatory.

• Practical cloud engineering experience on AWS and/or OCI: compute, storage, virtual networking, load balancers, managed databases, and IAM.

• Strong skills in infrastructure as code (Terraform preferred).

• Proficiency in Python for automation and data pipelines; familiarity with Bash or PowerShell.

• Experience in constructing or managing data pipelines (batch, scheduled, or event-driven).

• CI/CD experience (GitLab, Jenkins, or similar) and working knowledge of containers and Kubernetes.

• Experience with monitoring and logging tools (for example CloudWatch, OCI Monitoring, Prometheus, Grafana).

• Practical experience or demonstrated capability in applying AI and LLM services to automation and data workflows.

• Strong understanding of cloud security best practices and experience in preparing technical documentation.

• Excellent problem-solving and communication skills; capable of working with senior clients, collaborating in a distributed team, and managing multiple priorities.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• 401(k) plan with company matching.

• Generous paid time off and holiday leave.

• Continuous professional development opportunities.

• Flexible work hours and remote work options.