Compunnel
Cloud Solutions Engineer
Compunnel, Greenwood Village, Colorado, United States,
Job Summary:
- Team handles AI modeling: Real-time speech-to-text transcription as calls are ongoing.
- Azure cloud/networking environment: this resource will be their SME.
- HM only interested in single-page resumes (include AI, networking, model deployment, cloud experience).
- Submit via email and include a skills summary in the email.
- Initial contract is through EOY, but aiming to extend through 2025 (possibility for conversion).
Key Responsibilities:
- Deliver administration, maintenance, and ongoing support of the shared cloud environment.
- Build, configure, tune, and implement automation for cloud lifecycle and operational improvement.
- Support the web interface used by customers to access their cloud environment.
- Responsible for evaluation, development, implementation, optimization, performance, and configuration of customer cloud environments.
- Establish and maintain proficiency on emerging technologies through self-study and on-the-job training.
- Escalate issues and defects as necessary.
- Work directly with escalation teams (development, network, or engineering) until incidents are fully resolved.
- Provide routine communication with customers on progress, status, and root cause.
- Support customers with DNS, IP, and firewall issues regarding the cloud environment.
- Work directly with architects to help reproduce and resolve customer issues.
- Knowledge of industry standards and standards organizations (e.g., ITIL, TOGAF, PMP).
Required Qualifications:
- Strong understanding of all virtualization types.
- OS and database administration.
- Solid networking experience and troubleshooting.
- UNIX systems and automation.
- Expertise in the design and operation of medium to large-scale enterprise or cloud infrastructure, databases, and application systems.
- Expertise in data infrastructure.
- Passion for cloud software, tooling, and automation; comfort with command line tools and scripting.
- Understanding of design principles around networking, storage, and servers.
- Experience working with integration scripting technologies.
- Good understanding of API and tools.
- 5-10 years of experience.
Preferred Qualifications:
- Microsoft Azure preferred (AWS background works as well).
- Strong understanding of networking security/configs and resource creation in the cloud.
- Experience with AI model deployments in the cloud as well as DevOps experience.
- Utilizing Databricks, Azure fabric, Azure AI studio, Power platforms, CoPilot.
- Proficient with Python, SQL, PySpark.
Certifications:
- Relevant certifications in cloud technologies and networking are a plus.
Education:
Bachelors Degree
- Team handles AI modeling: Real-time speech-to-text transcription as calls are ongoing.
- Azure cloud/networking environment: this resource will be their SME.
- HM only interested in single-page resumes (include AI, networking, model deployment, cloud experience).
- Submit via email and include a skills summary in the email.
- Initial contract is through EOY, but aiming to extend through 2025 (possibility for conversion).
Key Responsibilities:
- Deliver administration, maintenance, and ongoing support of the shared cloud environment.
- Build, configure, tune, and implement automation for cloud lifecycle and operational improvement.
- Support the web interface used by customers to access their cloud environment.
- Responsible for evaluation, development, implementation, optimization, performance, and configuration of customer cloud environments.
- Establish and maintain proficiency on emerging technologies through self-study and on-the-job training.
- Escalate issues and defects as necessary.
- Work directly with escalation teams (development, network, or engineering) until incidents are fully resolved.
- Provide routine communication with customers on progress, status, and root cause.
- Support customers with DNS, IP, and firewall issues regarding the cloud environment.
- Work directly with architects to help reproduce and resolve customer issues.
- Knowledge of industry standards and standards organizations (e.g., ITIL, TOGAF, PMP).
Required Qualifications:
- Strong understanding of all virtualization types.
- OS and database administration.
- Solid networking experience and troubleshooting.
- UNIX systems and automation.
- Expertise in the design and operation of medium to large-scale enterprise or cloud infrastructure, databases, and application systems.
- Expertise in data infrastructure.
- Passion for cloud software, tooling, and automation; comfort with command line tools and scripting.
- Understanding of design principles around networking, storage, and servers.
- Experience working with integration scripting technologies.
- Good understanding of API and tools.
- 5-10 years of experience.
Preferred Qualifications:
- Microsoft Azure preferred (AWS background works as well).
- Strong understanding of networking security/configs and resource creation in the cloud.
- Experience with AI model deployments in the cloud as well as DevOps experience.
- Utilizing Databricks, Azure fabric, Azure AI studio, Power platforms, CoPilot.
- Proficient with Python, SQL, PySpark.
Certifications:
- Relevant certifications in cloud technologies and networking are a plus.
Education:
Bachelors Degree