Cloud Infrastructure & Automation Engineer

Guidehouse is seeking a highly capable Cloud Infrastructure & Automation Engineer to support and secure large-scale infrastructure, cloud, and platform operations across federal environments. The role involves deploying, managing, and optimizing AWS and hybrid infrastructure with a focus on automation, security, and compliance.

Responsibilities:

• Automate provisioning and lifecycle management of AWS services—including identity, compute, storage, backups, networking, logging, and monitoring—using Terraform or similar Infrastructure as Code (IaC) tools
• Deploy, configure, harden, and maintain infrastructure across AWS and hybrid environments following secure baseline standards
• Standardize reusable IaC modules, promote best practices, and improve environment consistency across dev/test/prod
• Build and enhance CI/CD pipelines and modern DevOps workflows using tools such as Git, Terraform, Jenkins, AWS CodePipeline, and Docker
• Troubleshoot and resolve infrastructure and automation issues to ensure reliability, performance, and mission continuity
• Implement operational visibility with logging/monitoring improvements and actionable dashboards (as applicable to your environment)
• Apply cybersecurity best practices and support zero-trust and compliance-aligned infrastructure operations (e.g., NIST, CIS, ISO 27000)
• Collaborate with security and networking teams to implement secure configurations, change controls, and audit-ready operational processes
• Support business continuity and disaster recovery (DR) requirements and operational readiness
• Work closely with engineering, security, networking, and application teams to support mission needs and delivery timelines
• Partner with data engineers and scientists to enable infrastructure needs for data pipelines and machine learning workflows
• Maintain high-quality engineering documentation including SOPs, system diagrams, and secure configuration baselines
• Summarize and present findings and recommendations—both written and verbal—to technical and non-technical stakeholders

Requirements:

• 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
• Bachelor's degree in Engineering, IT, Computer Science, or related field (or equivalent experience)
• Minimum SIX (6) years of hands-on experience in AWS, cloud infrastructure, and/or enterprise IT operations
• Strong hands-on expertise with Terraform for AWS infrastructure automation
• Experience building and operating CI/CD pipelines and DevOps practices with tools such as Git, Terraform, Jenkins, AWS CodePipeline, Docker
• Strong scripting skills in Python and Bash
• Working knowledge of cybersecurity best practices, zero-trust concepts, and compliance frameworks such as NIST, CIS, ISO 27000
• Experience using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Cursor, Kiro) to accelerate delivery while maintaining strict quality via testing, reviews, and security practices
• Self-starter mindset with the ability to work independently and collaboratively across Engineering, DevOps, and Architecture functions
• Eligibility for Public Trust and ability to complete federal background screening
• AWS Certified DevOps Engineer – Professional (or equivalent)
• CompTIA Security+
• Experience provisioning and implementing data pipelines for lakehouse platforms such as Databricks or AWS services including S3, Lake Formation, Glue, and Athena
• Ability to design and optimize AWS data solutions, including migration pipelines, ETL workflows, and serverless architectures
• Experience with monitoring and SIEM tools such as CloudWatch and Splunk
• Experience supporting enterprise business continuity and disaster recovery (DR) solutions