Cloud Engineer

Interactive Process Technology LLC

• $90K — $130K *
Austin, TX 78745In-Person
Aerospace & Defense
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 3+ years of experience in cloud engineering, infrastructure engineering, or DevOps
  • Experience designing and deploying solutions in Microsoft Azure
  • Proficient with Infrastructure as Code and automated deployment pipelines
  • Familiarity with containerization technologies like Docker or Kubernetes
  • Knowledge of secure cloud architecture and cybersecurity practices
  • Active Security clearance required

Responsibilities

  • Build and enhance the secure cloud platform for the Army's Data Science Environment
  • Enable rapid deployment of AI/ML models and analytics tools for data scientists
  • Automate cloud infrastructure using modern DevSecOps and Infrastructure as Code
  • Improve reliability and scalability of enterprise data platforms
  • Support containerized workloads across multiple Army organizations
  • Design secure cloud architectures and compliance capabilities
  • Document technical solutions and operational procedures

Benefits

  • Work on critical projects that impact national security
  • Flexible working environment within a DoD context
  • Collaboration with top-tier data science and cybersecurity teams
  • Opportunities for professional development and certifications
  • Engagement in cutting-edge technologies and practices in the cloud industry
Full Job Description
Cloud Engineer

Austin, TX

Responsibilities:
  • Building and improving the secure cloud platform that powers the Army's Data Science Environment (DSE)
  • Enabling data scientists and analytic teams to rapidly deploy AI/ML models and advanced analytics tools
  • Automating cloud infrastructure and platform services using modern DevSecOps and Infrastructure as Code practices
  • Improving reliability, scalability, and observability of enterprise data and analytics platforms
  • Supporting containerized analytic workloads used by multiple Army organizations
  • Designing secure architectures and automated compliance capabilities within DoD cloud environments
  • Helping analytic teams move faster by providing stable, automated, and secure platform services
  • Design, deploy, and maintain cloud infrastructure in Microsoft Azure and Azure Government environments
  • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, ARM templates, or Bicep
  • Build and support CI/CD pipelines for automated infrastructure and application deployments
  • Deploy and manage containerized workloads using Docker and Kubernetes
  • Implement DevSecOps practices integrating security scanning, compliance validation, and automated testing
  • Configure monitoring, logging, and observability solutions to ensure system performance and reliability
  • Implement cloud security controls including RBAC, secure configuration baselines, and STIG compliance
  • Collaborate with software developers, data engineers, data scientists, and cybersecurity teams to support modern cloud platforms
  • Document technical solutions, architecture decisions, and operational procedures
  • Support operational reliability, incident response, and platform performance tuning


Requirements:
  • Bachelor's degree in Computer Science, Information Systems, or related technical discipline
  • 3+ years of experience in cloud engineering, infrastructure engineering, or DevOps roles
  • Experience designing and deploying solutions in Microsoft Azure
  • Experience implementing Infrastructure as Code and automated deployment pipelines
  • Familiarity with containerization technologies such as Docker or Kubernetes
  • Knowledge of secure cloud architecture and cybersecurity best practices
  • Experience working in Agile development environments
  • Active Security clearance required
  • Microsoft Azure / Azure Government
  • Infrastructure as Code (Terraform, ARM, Bicep)
  • Kubernetes and container platforms
  • CI/CD tools (GitLab, GitHub, Azure DevOps)
  • Python or PowerShell automation
  • Monitoring and observability platforms such as Azure Monitor, Prometheus, and Grafana
  • Identity and access management using Azure Active Directory


Preferred Qualifications:
  • Microsoft Azure certifications (AZ-104, AZ-305, or similar)
  • Experience working in Azure Government or other DoD cloud environments
  • Familiarity with DoD cybersecurity frameworks such as RMF and STIG implementation
  • Experience supporting enterprise data platforms, analytics environments, or AI/ML workloads


* Ladders Estimates

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