Noise Digital

www.noisedigital.com

1 Job

69 Employees

About the Company

Noise is a leader in advanced analytics, data driven marketing, performance media, cloud system integration and AL/ML development. We help our clients create direct-to-consumer relationships with data that deliver personalization at scale. Noise believes that (1p) data is an organization’s essential intellectual property and a key competitive advantage.

Listed Jobs

Company Name: Noise Digital
Job Title: Cloud Engineer
Job Description: Job title: Cloud Engineer Role Summary: Design, implement, and maintain medium‑complexity GCP‑based data and analytics solutions for an analytics team, with a focus on machine learning and large language model (LLM) deployments. Provides independent solution execution, supports automation, and ensures operational reliability. Expactations: - 2–5 years in software or cloud engineering. - Proven **GCP** experience (Cloud SQL, BigQuery, Dataflow, App Engine/Compute Engine, Pub/Sub). - Strong **Python** proficiency; solid SQL skills. - Familiarity with **ML/LLM** concepts in GCP. - Ability to work autonomously, document processes, and collaborate cross‑functionally. Key Responsibilities: 1. **Cloud Engineering & Execution** – Implement, optimize, and maintain analytics pipelines and ML/LLM services on GCP. 2. **Automation & IaC** – Develop scripts and leverage IaC tools for deployment & management. 3. **Performance & Troubleshooting** – Monitor, diagnose, and optimize cloud services and data pipelines. 4. **Design & Documentation** – Contribute to system design, create/maintain UML diagrams and technical docs. 5. **Collaboration** – Partner with engineers and functional teams; educate non‑technical stakeholders on cloud solutions. Required Skills: - **Google Cloud Platform** (Core services). - **Python** programming. - **SQL** for data manipulation. - **ETL/ELT** pipeline design and implementation. - Basic **IaC** and scripting. - UML/architecture documentation. - Agile/Scrum SDLC experience. - Knowledge of digital‑analytics & ad‑tech APIs (e.g., Google Campaign Manager, Ads, Facebook Marketing). Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering or related field. - Optional: GCP Professional Machine Learning Engineer or equivalent.