Cloud Engineer M/F

The Position

Job Description

As a Cloud Engineer within the AI & Cloud team at 52 Entertainment, your primary mission will be to design, implement, and maintain scalable, secure, and efficient cloud-native infrastructures. You will work closely with developers, DevOps engineers, and AI experts to build and optimize technical workflows—including Generative AI pipelines—across a wide portfolio of games and internal tools.

Your role will be critical in:

• Building robust cloud environments (AWS and/or GCP) to support fast-paced game development and publishing.
• Designing automation workflows, particularly those integrating AI capabilities (e.g. model orchestration, LLM APIs, fine-tuning pipelines).
• Bridging Dev and Ops by creating resilient CI/CD pipelines, deploying infrastructure as code, and establishing scalable environments.
• Contributing to the company’s AI transformation, helping evaluate and integrate state-of-the-art tools while ensuring operational excellence.
• Collaborating with product and tech leads to translate business goals into smart technical architectures.

Required Profile

Required Skills and Qualifications

Essentials:

• Master’s degree in Computer Science, Software Engineering, or equivalent.
• 3+ years of proven experience in cloud infrastructure—either AWS, GCP, or both.
• Strong DevOps mindset with hands-on experience in IaC, container orchestration, CI/CD pipelines.
• Proficiency in at least one programming language such as Python or TypeScript.
• Practical knowledge of building AI workflows using APIs (e.g. OpenAI, Hugging Face) or cloud AI services (e.g. AWS Bedrock, GCP Vertex AI).
• Experience with monitoring, logging, and security best practices in cloud deployments.
• Ability to architect and scale complex systems with high availability and low latency in mind.
• Familiarity with event-driven and serverless architectures.

Nice-to-have:

• Certifications such as:
• AWS Certified Solutions Architect – Associate or Professional
• Google Professional Cloud Architect
• Background or strong interest in Generative AI, LLMs, or AI application development.
• Prior experience in game tech, mobile games, or performance-optimized applications.