Senior Cloud Infrastructure Engineer

Senior+

Location🇫🇷Paris

Posted3w

Experience: 5+ years
Stack: Kubernetes, Terraform

About Voodoo

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

Profile (Must Have)

5+ years of Linux experience including experience with scripting, networks, storage, and release
3+ years building and maintaining continuous integration environments and working with AWS
3+ years working with Kubernetes
Strong understanding of the infrastructure as code and immutability principles including Terraform
Experience with high traffic, distributed systems architectures, and related tools (service discovery, config/secret management, etc.)
Experience designing and managing AWS Landing Zone architectures (multi-account strategy, org-level guardrails, centralized networking/logging/security)
Experience in any scripting language (python, bash, …)
Practical experience incorporating AI-assisted coding tools or agentic frameworks (such as Cursor, Claude Code, or similar solutions) into production software development workflows
Ability to adapt to multiple stakeholders and demonstrate strong cross-teams cooperation

Profile (Nice to Have)

Supporting data pipeline orchestration (ETL, Spark, Airflow)
Running a distributed message broker at scale (Kafka, NATS)
Running GPU workloads on Kubernetes
Supporting ML workloads
Hands-on expertise in designing, deploying, and maintaining agentic systems in production environments (including multi-agent orchestration, tool integration frameworks, and comprehensive agent observability and monitoring)
Experience in golang is a plus