Senior DevOps Cloud Engineer

** 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…