Title: Cloud Infrastructure & Automation Engineer
Location: US - Remote (Any location)
Part time
Job requisition id 37772
Job Family: Software Development & Support
Travel Required: None
Clearance Required: Ability to Obtain Public Trust
We are seeking a highly capable Cloud Infrastructure & Automation Engineer to support and secure large-scale infrastructure, cloud, and platform operations across federal environments. You will be responsible for deploying, managing, and optimizing AWS and hybrid infrastructure, with a strong emphasis on automation, security, compliance, and mission continuity for critical workloads.
This role is ideal for someone who is hands-on, outcomes-driven, and comfortable collaborating across engineering, security, networking, and data teams to deliver stable, secure, and scalable infrastructure in regulated environments.
What You Will Do:
Cloud Infrastructure & Automation (AWS / IaC)
- 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.
DevOps Enablement & Operational Excellence
- 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).
Security, Compliance, and Resilience
- 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.
Cross-Team Collaboration & Documentation
- 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.
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.
- 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.
What Would Be Nice To Have:
- AWS Certified DevOps Engineer – Professional (or equivalent).
- 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.
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 comprehensiv