C++ Cloud Engineer - High-Performance Science

University of Texas at Austin

Austin (TX)

On-site

USD 89,000 - 120,000

Full time

12 days ago

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Benefits offered by this job

Full benefits package
Paid vacation and sick leave
Comprehensive medical coverage

Job summary

University of Texas at Austin on the Pickle Research Campus seeks a C++/Cloud Engineer to design, develop, test, and maintain high-performance software for cloud deployments, supporting science and engineering applications.

You will work across cloud, CI/CD, and software architecture, writing robust C++ code, building pipelines, and collaborating with cross-functional teams to ensure reliable, scalable solutions.

Qualifications

  • Bachelor's degree in Science, Engineering, CS or related field.
  • Experience in C++ software development and modern C++ standards.
  • Knowledge of data structures, algorithms and software architecture.
  • Experience with version control (Git) and build systems (CMake/Make).
  • Ability to obtain DoD 8140 security certification within six months.

Responsibilities

  • Implement high-quality C++ code with tests and reviews.
  • Design cloud architecture solutions across environments.
  • Build CI/CD pipelines and IaC for reproducible environments.
  • Design software for cloud-native deployments with scalable architectures.
  • Monitor performance, costs, and reliability; optimize resources.
  • Collaborate with cross-functional teams and document processes.

Skills

C++ development
Modern C++ (C++11/14/17)
Distributed systems
Problem solving
Communication skills

Education

Bachelor's degree in Science/Engineering/CS

Tools

Git
CMake/Make
Terraform/CloudFormation
Kubernetes
Jenkins

Job description

University of Texas at Austin on the Pickle Research Campus seeks a C++/Cloud Engineer to design, develop, test, and maintain high-performance software for cloud deployments, supporting science and engineering applications.

You will work across cloud, CI/CD, and software architecture, writing robust C++ code, building pipelines, and collaborating with cross-functional teams to ensure reliable, scalable solutions.

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