Senior DevOps Cloud Engineer

Guidehouse Digital, LLC; Bethesda (MD); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Job summary

Guidehouse is seeking a Senior DevOps/Cloud Engineer to optimize AWS workloads and help build a new GCP environment. You will own cloud-native and hybrid deployments, design CI/CD pipelines, automate provisioning, and ensure security and regulatory compliance across platforms.

Ideal candidates have deep hands-on experience with AWS, GCP, IaC, automation, and AI infrastructure, delivering reliable, scalable, and compliant cloud solutions with minimal supervision.

Qualifications

• Bachelor's Degree; minimum ten years IT experience with DevOps/cloud engineering
• Strong hands-on experience deploying workloads in AWS
• Working knowledge of GCP and deployment/support of cloud services
• Proven CI/CD design, implementation, and tooling in enterprise environments
• Strong automation/scripting with Ansible and Python
• Experience with AI/ML infrastructure support and cloud platforms
• Experience in compliant, FedRAMP/NIST-like environments
• Knowledge of Docker and Kubernetes for containerized workloads

Responsibilities

• Support, maintain, and optimize existing AWS workloads and infrastructure.
• Build and operationalize GCP support for new workloads.
• Design, implement, and manage CI/CD pipelines for apps and infra.
• Deploy, manage, and troubleshoot apps across AWS and GCP.
• Automate provisioning and config management; IaC practices.
• Support AI/ML platform deployments and related infrastructure.
• Ensure security/compliance in cloud environments (FedRAMP/NIST).
• Create documentation, runbooks, and architecture diagrams.

Skills

AWS

GCP

CI/CD

Automation

Python

Ansible

Terraform

Kubernetes

Docker

Security/compliance

Education

Bachelor's Degree

Tools

Jenkins

Git

GitHub Actions

GitLab CI

CloudFormation

CDK

Terraform

Job description

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 package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care
• Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

Position may be eligible for a discretionary variable incentive bonus.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.