Top Gaming DevOps & Platform Engineering Jobs

Operate and improve the reliability, observability, and deployment safety of cloud, Kubernetes, application, and data-platform environments. Responsibilities include incident response, troubleshooting Databricks and Spark workloads, maintaining dashboards and alerts, supporting streaming and orchestration systems, automating operational tasks, improving release processes, and partnering with engineering teams on platform modernization and post-incident corrective actions.

Lead the DevOps team’s technical vision and roadmap for WWE 2K. Design and improve CI/CD pipelines, infrastructure, deployment automation, developer tooling, and environments across Windows and Linux. Ensure reliability, scalability, observability, and performance while establishing deployment and operational standards. Collaborate across studios and disciplines, improve workflows and documentation, and provide technical leadership in a distributed, multi-team game development environment.

Own and operate a globally distributed VPN network, AWS control plane, backend infrastructure, and infrastructure-as-code tooling. Improve reliability, security, automation, observability, CI/CD, deployment safety, and cost efficiency across multiple providers. Troubleshoot production incidents, participate in 24/7 on-call, manage networking and VPN technologies, and replace manual operational processes with tested automation. Partner with engineering and product teams while ensuring high uptime, connection success, performance, and compliance.

As an Endpoint Platform Staff Engineer, you will design and manage enterprise mobile device management solutions, ensuring secure operations and compliance across multiple platforms. You will work with teams to optimize processes and define key performance indicators for continuous improvement.

Architects, builds, and operates AWS cloud infrastructure and developer platforms, including Kubernetes, infrastructure as code, CI/CD, GitOps, networking, DNS, observability, reliability, and cloud security. Leads incident response, capacity planning, disaster recovery, cost optimization, compliance tooling, and infrastructure projects. Establishes platform standards, enables engineering self-service, and mentors team members.

Administers and supports Windows-based server, application, SAN, and virtual environments. Configures, upgrades, patches, documents, and troubleshoots systems; deploys VMware environments; maintains IT asset inventories; evaluates system performance and inefficiencies; coordinates issue resolution with users, vendors, property leaders, and IT teams; and provides off-hours support as needed.

Design, automate, and optimize GCP cloud infrastructure supporting machine learning operations. Build CI/CD, data, feature, monitoring, and observability pipelines; improve inference performance, reliability, scalability, and cost efficiency; troubleshoot production systems; and implement deployment, security, logging, and governance best practices for real-money gaming environments.

Leads engineering strategy, architecture, and execution across cloud infrastructure, enterprise platforms, data, automation, AI, and software delivery. Manages and develops engineering teams; establishes standards for DevOps, security, reliability, documentation, and operational readiness. Oversees Microsoft 365, Azure, SQL Server, VMware, and related platforms while driving automation, CI/CD, infrastructure as code, AI enablement, incident support, technical roadmaps, vendor evaluation, budgeting, and cross-functional delivery.

Maintain and improve build and release processes across mobile, console, and PC platforms. Develop automation tools, support continuous integration, manage branches and environments, coordinate releases with Production and Live-Ops teams, enable automated testing, and document build pipelines. The role requires Perforce, scripting, build systems, CI, C++, and strong collaboration skills.

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.