job specification

Hiring: Cloud Engineer (GCP / AWS / Python / AVID MAM)

Location: Remote / Hybrid (based on region)

Experience Level: Mid–Senior

About the Role

We are looking for a skilled Cloud Engineer with strong experience across Google Cloud Platform (GCP), AWS, Python development, and workflow migration. The ideal candidate will also have hands-on expertise with AVID Media Asset Management (MAM) systems and the ability to support modern CI/CD deployment practices.

This role involves cloud-based workflow modernization, application and media workflow migration, automation scripting, and integration across cloud environments.

Key Responsibilities

• Design, implement, and support solutions on Google Cloud Platform (GCP) and AWS.
• Develop and maintain automation scripts and integrations using Python.
• Lead or support workflow migration initiatives from legacy systems to cloud-native architectures.
• Work with AVID MAM systems for media workflow integration, configuration, and automation support.
• Build and maintain CI/CD pipelines to support continuous deployment and operational excellence.
• Collaborate with cross-functional teams (engineering, media operations, DevOps) to design efficient and scalable solutions.
• Troubleshoot cloud-based applications, media workflows, and infrastructure issues.

Required Skills & Experience

• Strong hands-on expertise in Google Cloud Platform (GCP).
• Experience with AWS services, cloud deployment models, and cross-cloud integration.
• Proficiency in Python for automation, scripting, data processing, or workflow integration.
• Proven experience in workflow migration (media workflows preferred).
• Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.).
• AVID MAM (Avid Media Asset Management) experience is mandatory.
• Ability to troubleshoot, optimize, and document cloud and media workflows.
• Strong communication skills and ability to work in a distributed team.

Nice to Have

• Experience with media workflows, broadcast systems, or video delivery platforms.
• Knowledge of containerization (Docker, Kubernetes).
• Familiarity with storage, CDN, streaming, or metadata management in cloud environments.