Top Gaming DevOps & Platform Engineering Jobs

Architects, builds, and operates AWS cloud infrastructure and developer platforms, including Kubernetes/EKS, infrastructure-as-code, CI/CD, GitOps, networking, DNS, observability, reliability, and cloud security. Leads incident response, disaster recovery, cost optimization, compliance tooling, and platform improvements while mentoring engineers and enabling self-service development workflows.

Designs, builds, operates, and optimizes distributed backend infrastructure for a large-scale online multiplayer game. Owns the full service lifecycle, integrates cloud and platform services, troubleshoots production issues, supports live operations, improves security and costs, establishes engineering practices, collaborates with stakeholders, and mentors junior engineers.

Designs and maintains highly available, scalable, secure systems for a global gaming platform. Responsibilities include defining reliability objectives, leading incident response and postmortems, developing observability and alerting strategies, optimizing performance, automating operational tasks, supporting architecture reviews, and mentoring engineers. The role partners across engineering teams to implement SRE best practices and improve system resilience, scalability, and operational excellence.

Administers and supports network, server, storage, wireless, and virtualization infrastructure. Responsibilities include monitoring, troubleshooting, patching, backups, upgrades, Active Directory management, Cisco network administration, VMware deployment, project planning, technical documentation, user support, compliance, and infrastructure improvements.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Build and maintain scalable platform tools, infrastructure, and automation supporting software development and deployment. Develop C#/.NET solutions, manage Kubernetes environments, implement Helm and GitOps practices, and improve distributed-system reliability, observability, performance, and deployment strategies. Troubleshoot complex infrastructure issues, collaborate with engineering stakeholders, conduct code reviews, and mentor engineers. The role requires cloud-platform experience and expertise in microservices, containerization, and modern application delivery.

Designs, deploys, automates, and maintains resilient hybrid infrastructure and observability platforms. Responsibilities include monitoring and alerting, application telemetry, infrastructure deployment, incident response, documentation, training, cross-functional collaboration, and technical mentorship. The role supports Windows, Linux, AWS, Azure, Kubernetes, and on-premises environments while improving system reliability through automation, troubleshooting, and continuous learning.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Own and improve CI/CD pipelines, LiveOps monitoring and alerting, infrastructure as code, and cloud infrastructure. Investigate broken deployments, performance issues, crashes, logs, metrics, and crash dumps. Support the health and reliability of the game’s live service across multiple environments.

Owns end-to-end AI infrastructure deployments, including data center assessments, solution design reviews, partner coordination, technical delivery, and production operations. Responsibilities include monitoring, incident response, capacity checks, firmware and lifecycle management, hardware maintenance coordination, operational documentation, project risk reporting, and mentoring junior engineers. The role requires expertise in high-performance compute, networking, storage, Linux, cluster orchestration, automation, and observability across large-scale AI environments.