Senior DevOps Cloud Engineer

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.