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Senior DevOps Cloud Engineer

Guidehouse

US - MD, Bethesda, US$113k – $188konsite

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About this role

Job Family : IT Architecture/Cloud Travel Required : None Clearance Required : Ability to Obtain Public Trust

We are seeking a highly skilled Senior DevOps / 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 DevOps 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 DevOps, 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 DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub 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, CloudFormation, 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 DevSecOps practices.

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

• Familiarity with services such as Amazon SageMaker, 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 and/or Google Cloud certifications are preferred.

Technical Skills Cloud Platforms: AWS, GCP Automation/Scripting: Ansible, Python, Bash CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar Source Control: Git Infrastructure as Code: Terraform, CloudFormation, CDK, GCP Deployment Manager or similar Containers/Orchestration: Docker, Kubernetes Compliance/Security: FedRAMP, NIST, security hardening, audit support Monitoring/Logging: Cloud-native and third-party monitoring and observability tools

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits p

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