Senior DevOps Cloud Engineer
Listed on 2026-07-25
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure, AWS
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.
- 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.
- Experience with Terraform, Cloud Formation, or other Infrastructure as Code…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).