DevOps Engineer (Linux, Puppet, Python) *Remote* *Pacific work hours*
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Title: DevOps Engineer
Start Date: 10/1/2024
Duration: 1 Year
Location: Fully remote
Work Hours: 8 AM 5 PM PT
Years of Experience: 5
Pay Rate: $60/hr. W2
** Must have skills: Strong skills in Linux and Python or Golang, VMWare
Job Summary
We are seeking a highly skilled Senior DevOps Engineer to join our engineering team. You will play a critical role in designing, building, and maintaining our cloud infrastructure. This position requires a deep understanding of infrastructure as a service (IaaS), Linux systems, virtualization, and Java application management. You will be responsible for automating infrastructure provisioning, ensuring system reliability, and optimizing application performance.
Responsibilities
- Design and implement IaaS solutions using tools such as OpenStack and CloudStack.
- Administer and maintain Linux systems, ensuring optimal performance and security.
- Manage and scale Java applications, troubleshooting issues as they arise.
- Develop and implement advanced telemetry and observability solutions.
- Collaborate with development and operations teams to streamline processes and improve efficiency.
- Stay up to date with the latest industry trends and technologies.
Qualifications
- Bachelor s degree in computer science, Engineering, or a related field, or equivalent experience.
- Proven experience with IaaS orchestration tools is preferred (OpenStack, CloudStack, etc.).
- Strong Linux system administration skills.
- Expertise in Linux system virtualization technologies (Libvirt, QEMU, KVM, etc.) and their associated APIs and programming languages.
- In-depth knowledge of Java application management, scaling, and troubleshooting.
- Understanding of authentication schemes, certificates, and secure secret management.
- Ability to develop and implement advanced telemetry and observability solutions.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of scripting languages (Python, Bash).
- Experience with CI/CD pipelines.