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Senior DevOps Cloud Engineer

Job in Bethesda, Montgomery County, Maryland, 20811, USA
Listing for: Guidehouse
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure, AWS
Salary/Wage Range or Industry Benchmark: 113000 - 188000 USD Yearly USD 113000.00 188000.00 YEAR
Job Description & How to Apply Below

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…
Position Requirements
10+ Years work experience
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