Senior Cloud Infrastructure Engineer, Voodoo

• 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

Desirable

• 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
• Our Stack
• AWS; Terraform; Kubernetes; Prometheus; ArgoCD; Circle-Ci; Github Actions; Atlantis; Grafana; Claude Code (or similar AI coding harnesses)