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Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
Team
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems.
Role
We’re looking for a Senior Cloud Infrastructure Engineer interested in creating something bigger to join our Engineering & Data team! In this role, you’ll be working on highly scalable solutions, used by millions of people and will solve complex problems including challenges like scalability, high availability, performance, optimization & automation. You will use best-in-class services and technologies, including AI-assisted development tools and agentic workflows, and will contribute to improving the technical stack.
- Design and implement availability, scalability, and performance plans for the services environments
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
- Develop security capabilities and encourage adoption of security best practices and architecture changes throughout the company via evangelism and education
- Take ownership of automating infrastructure deployment and configuration, lead the creation of CI/CD pipelines for applications, and develop CI/CD best practices across the team
- Leverage AI coding assistants (e.g. Claude Code or similar harnesses) to accelerate infrastructure development, automate repetitive engineering tasks, and raise the team's overall velocity
- Design, deploy, and scale autonomous or semi-autonomous agents to handle infrastructure operations, incident response, and internal tooling workflows
- Perform development, automation, and deployment assignments without close supervision
- Provide application development and cloud technology leadership, guidance, and assistance to other team members, including best practices for integrating AI tools into engineering workflows
- Control costs and be able to propose and implement new solutions in coordination with dev teams
