R&D Cloud Engineer — Distributed Systems & Security

University of Texas

United States

On-site

USD 104,000 - 174,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
Retirement contributions
Vacation and sick leave
Paid holidays

Job summary

The University of Texas at Austin invites applications for an R&D Cloud Engineering Scientist at the Applied Research Laboratories. The role centers on designing, deploying, and maintaining distributed cloud systems to support science, research, and engineering applications.

Candidates should have a Bachelor's degree and at least three years in cloud engineering, with IaC, containerization, and security proficiency.

Qualifications

  • Bachelor's degree in engineering, computer or information science, or other applied sciences.
  • Three years of experience in cloud engineering.
  • Experience with at least one major cloud platform (AWS, Azure, GCP).
  • Proficiency with Infrastructure as Code methodologies.
  • Experience with containerization and container orchestration.
  • Knowledge of networking concepts.
  • Familiarity with CI/CD tools and practices.
  • Understanding of distributed systems principles.
  • Experience designing for scalability, high availability, security, and fault tolerance.
  • Strong problem-solving and troubleshooting abilities.
  • Excellent written and verbal communication skills.
  • Ability to obtain and maintain a DoD 8140 compliant security certification within six months of employment.
  • Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment.

Responsibilities

  • Contribute to cloud architecture solutions for applications across multiple environments.
  • Design scalable, highly available, secure, and fault-tolerant distributed systems.
  • Define networking, compute, storage, and security requirements and patterns.
  • Make architectural tradeoffs to manage cloud costs.
  • Evaluate and recommend cloud services.
  • Create and maintain architecture diagrams and design documentation.
  • Implement infrastructure using Infrastructure as Code.
  • Deploy and configure cloud resources including compute, storage, networking, and databases.
  • Set up multi-region and multi-availability zone deployments.
  • Build and maintain CI/CD pipelines for infrastructure changes.
  • Monitor infrastructure health, performance, and cost.
  • Implement robust monitoring, alerting, and logging solutions.
  • Contribute to disaster recovery and business continuity plans.
  • Support management of lifecycle of cloud costs.
  • Optimize resource utilization and cloud costs.
  • Support efforts to implement identity and access management best practices.
  • Define network security configuration.
  • Ensure data encryption at rest and in transit, compliance audits, and conduct periodic security reviews.
  • Partner with development teams to support application requirements.
  • Create and maintain runbooks, documentation, and operational procedures.
  • Provide guidance and mentorship on cloud best practices.

Skills

Cloud engineering
Distributed systems
Networking concepts
CI/CD practices
Security best practices
DoD 8140 eligibility
Troubleshooting
Technical communication
Time management
Mentorship

Education

Bachelor's degree in engineering or related field

Tools

Terraform
CloudFormation
Kubernetes
AWS/Azure/GCP
GitLab CI
Jenkins
CloudWatch

Job description

The University of Texas at Austin invites applications for an R&D Cloud Engineering Scientist at the Applied Research Laboratories. The role centers on designing, deploying, and maintaining distributed cloud systems to support science, research, and engineering applications.

Candidates should have a Bachelor's degree and at least three years in cloud engineering, with IaC, containerization, and security proficiency.

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