Cloud Platform Engineer

Rockstar Games•New York, NY

1d•$120,000 - $170,000•Onsite

About The Position

Rockstar Games is seeking a passionate and talented Engineer to join their IT team as a technical authority for cloud platforms. This role will focus on enabling safe, scalable, and effective adoption of cloud technologies across the company. The engineer will evaluate cloud platforms, support development teams with Proofs of Concept (POCs), help transition successful experiments into production, and ensure strong governance around security, cost, and data protection. This is a full-time, in-office position based in Rockstar’s NYC headquarters.

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent experience.
3+ years of experience in cloud-native systems, cloud platforms, and infrastructure architecture.
Experience with automation tools including Git, Pulumi, Terraform, Ansible or similar.
Experience with Kubernetes, container orchestration, infrastructure automation, or modern platform engineering practices.
Experience in cloud-native system design and implementation.
Experience integrating APIs and services into production environments.
Strong grasp of enterprise security fundamentals.

Nice To Haves

Games industry experience.
Experience with AI and LLM platforms or AI gateways.
Understanding of AI governance and platform risk assessment.

Responsibilities

Evaluate enterprise cloud platforms and services for security, scalability, cost and enterprise fit.
Maintain a catalogue of approved cloud platforms and usage patterns.
Maintain documentation and support development teams in design and implementation of cloud-enabled workflows and architecture.
Coordinate with Security, Operations, Infrastructure, as well as Development and Legal stakeholders on platform architecture decisions.
Coordinate with Security to define guardrails around data handling, access control, logging, and auditing.
Design and enforce cost controls such as quotas, usage limits and reporting.
Educate teams on capabilities, limitations, and best practices.