Senior DevOps Cloud Engineer with Security Clearance

Job Family :
IT Architecture/Cloud Travel Required :
None Clearance Required :
Ability to Obtain Public Trust We are seeking a highly skilled Senior Dev Ops / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (GCP) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management. The ideal candidate will have strong experience designing, building, automating, and supporting cloud-native and hybrid environments across AWS and GCP.

This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant Dev Ops practices. What You Will Do
* Support, maintain, and optimize existing AWS cloud workloads and infrastructure.

* Assist in building and operationalizing GCP support capabilities for new and future workloads.

* Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.

* Deploy, manage, and troubleshoot applications across AWS and GCP environments.

* Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.

* Implement and support Infrastructure as Code and environment standardization practices.

* Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.

* Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.

* Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development.

* Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.

* Monitor system health, availability, and performance, and proactively resolve operational issues.

* Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.

* Independently manage assigned work items, priorities, and deliverables with minimal supervision.

* Contribute to platform engineering best practices, cloud governance, and automation strategy. What You Will Need
* Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

* Bachelors' Degree

* Minimum TEN (10) years of overall IT experience, with significant focus on Dev Ops, cloud engineering, systems engineering, or platform engineering.

* Strong hands-on experience supporting and deploying workloads in AWS.

* Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services.

* Proven experience designing and implementing CI/CD processes and tools in enterprise environments.

* Strong hands-on experience with automation and scripting using Ansible and Python.

* Experience deploying, configuring, and supporting applications in cloud environments.

* Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.

* Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.

* Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks.

* Experience with source control and Dev Ops tool chains such as Git, Jenkins, Git Lab CI, Git Hub Actions, or similar platforms.

* Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.

* Strong troubleshooting, problem-solving, and root cause analysis skills.

* Excellent verbal and written communication skills. What Would Be Nice to Have
* Experience with Terraform, Cloud Formation, or other Infrastructure as Code tools.

* Experience supporting AI/ML infrastructure and operational environments in cloud platforms.

* Experience supporting multi-cloud environments.

* Familiarity with cloud networking, IAM, secrets management, logging, and observability tools.

* Experience with security scanning, policy enforcement, and Dev Sec Ops  practices.

* Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments.

* Familiarity with services such as Amazon Sage Maker, Vertex AI, container-based AI platforms, or similar technologies.

* Experience in government, healthcare, or other highly regulated environments.

* Ability to work independently and deliver technical work items with minimal oversight.

* Relevant AWS…