Senior DevOps Cloud Engineer

** Job Family:
** IT Architecture/Cloud (Digital)
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* Travel Required:

** None
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* 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…