Verified Job
IT / Software / Data Analyst
Cloud Engineer- job post Noise
IT / Software / Data Analyst
#778427
Remote / WFH
Noise
Job Description
Full job description
What we're looking for
As a Cloud Engineer at Noise, you will play a crucial role on the Analytics team, focusing on the optimization, maintenance, and execution of medium-complexity cloud-based data and analytics solutions. You will work within the Google Cloud Platform (GCP) infrastructure, contributing to the development and operational stability of systems, particularly those involving Machine Learning (ML) and Large Language Models (LLMs). You will execute defined tasks with a high degree of independence and support the wider team in maintaining engineering excellence.
What you'll do
Cloud Engineering and Execution
Solution Execution: Implement, optimize, and maintain robust cloud-based solutions for data analytics and insights based on established architectural patterns.
ML/LLM Support: Execute defined tasks related to the deployment, maintenance, and scaling of software solutions utilizing Machine Learning (ML) models and Large Language Models (LLMs) within the GCP infrastructure.
Infrastructure Maintenance: Develop and maintain essential cloud infrastructure components, ensuring operational efficiency, reliability, and adherence to security best
practices.
Automation and Scripting: Contribute to the development of automation scripts and use basic Infrastructure-as-Code (IaC) tools to streamline deployment and
management processes.
Troubleshooting and Optimization: Proactively monitor system performance, diagnose issues, and execute optimization strategies for existing cloud services and data pipelines.
Technical Collaboration and Design Support
Design Contribution: Work independently on assigned tasks and provide input to senior engineers on complex design considerations, seeking guidance where required to ensure system integrity.
Documentation: Create and maintain clear technical and engineering documentation (including updates to UML diagrams) for system components, processes, and maintenance procedures.
Cross-Functional Integration: Collaborate effectively with peer engineers and cross- functional teams to ensure the smooth integration and operation of cloud services and tools at the team/system level.
Team and Education
Process Adherence: Actively follow and contribute to the refinement of team processes, procedures, and best practices.
Knowledge Sharing: Educate Strategy and Media teams on basic cloud solutions and implementation best practices relevant to your scope of work.
Team Participation: Attend regular office meetings and developmental activities, including regular 1:1 meetings with your reporting manager.
What you'll need to bring
Qualifications:
What we're looking for
As a Cloud Engineer at Noise, you will play a crucial role on the Analytics team, focusing on the optimization, maintenance, and execution of medium-complexity cloud-based data and analytics solutions. You will work within the Google Cloud Platform (GCP) infrastructure, contributing to the development and operational stability of systems, particularly those involving Machine Learning (ML) and Large Language Models (LLMs). You will execute defined tasks with a high degree of independence and support the wider team in maintaining engineering excellence.
What you'll do
Cloud Engineering and Execution
Solution Execution: Implement, optimize, and maintain robust cloud-based solutions for data analytics and insights based on established architectural patterns.
ML/LLM Support: Execute defined tasks related to the deployment, maintenance, and scaling of software solutions utilizing Machine Learning (ML) models and Large Language Models (LLMs) within the GCP infrastructure.
Infrastructure Maintenance: Develop and maintain essential cloud infrastructure components, ensuring operational efficiency, reliability, and adherence to security best
practices.
Automation and Scripting: Contribute to the development of automation scripts and use basic Infrastructure-as-Code (IaC) tools to streamline deployment and
management processes.
Troubleshooting and Optimization: Proactively monitor system performance, diagnose issues, and execute optimization strategies for existing cloud services and data pipelines.
Technical Collaboration and Design Support
Design Contribution: Work independently on assigned tasks and provide input to senior engineers on complex design considerations, seeking guidance where required to ensure system integrity.
Documentation: Create and maintain clear technical and engineering documentation (including updates to UML diagrams) for system components, processes, and maintenance procedures.
Cross-Functional Integration: Collaborate effectively with peer engineers and cross- functional teams to ensure the smooth integration and operation of cloud services and tools at the team/system level.
Team and Education
Process Adherence: Actively follow and contribute to the refinement of team processes, procedures, and best practices.
Knowledge Sharing: Educate Strategy and Media teams on basic cloud solutions and implementation best practices relevant to your scope of work.
Team Participation: Attend regular office meetings and developmental activities, including regular 1:1 meetings with your reporting manager.
What you'll need to bring
Qualifications:
