Senior DevOps Cloud Engineer

Guidehouse; 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

Employee Assistance Program

Job summary

Guidehouse is seeking a Senior DevOps/Cloud Engineer to enhance AWS workloads and help establish a new GCP environment. You will own end-to-end delivery of cloud infrastructure, CI/CD pipelines, and AI platform deployment while ensuring security and compliance.

The role emphasizes independent work, hands-on engineering, and driving reliable, scalable DevOps practices in regulated environments. Federal/public trust eligibility is required.

Qualifications

• Active Public Trust or ability to obtain one.
• Bachelor's Degree required.
• 10+ years IT experience in DevOps/cloud.
• Hands-on AWS experience.
• GCP deployment experience.
• Proven CI/CD design and implementation in enterprise environments.
• Strong automation with Ansible and Python.
• Experience with cloud security/compliance frameworks such as FedRAMP/NIST.

Responsibilities

• Support and optimize AWS workloads and infra.
• Build and operationalize GCP support for new workloads.
• Design and manage CI/CD pipelines for apps and infra delivery.
• Deploy and troubleshoot apps across AWS and GCP.
• Automate provisioning and configuration management.
• Enforce IaC and environment standardization.
• Support AI/ML platform deployments and infra management.
• Collaborate with platform teams to ensure secure, scalable environments.

Skills

DevOps

Cloud Engineering

CI/CD

Automation

Security

Compliance

AI Platform

Education

Bachelor's Degree

Tools

Ansible

Python

Git

Jenkins

GitLab CI

GitHub Actions

Terraform

CloudFormation

Kubernetes

Docker

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.