• Design, build, and standardize CI/CD pipelines (Azure DevOps preferred) to support multiple development teams. • Build and evolve a self-service, GitOps-driven platform on Azure. • Contribute to the architecture, design, and implementation of Azure Kubernetes Service (AKS) environments. • Contribute to architecture and security configuration decisions within Azure and Kubernetes. • Implement Infrastructure as Code using Terraform and Helm to standardize and automate cloud environments. • Establish reusable automation patterns and platform standards across teams. • Integrate and automate security tooling within CI/CD pipelines in alignment with the dedicated security team. • Maintain and optimize existing pipelines and platform components. • Standardize CI/CD and deployment practices across 7–8 parallel teams. • Enable development teams through platform improvements and self-service capabilities. • Troubleshoot and debug production issues across services, infrastructure, and Kubernetes clusters. • Participate in incident response and post-mortem activities when required. • Collaborate closely with cross-functional and distributed teams to ensure consistent platform evolution. • Take ownership of platform components, driving improvements proactively and independently.

• Own the availability, performance, and resilience of our production systems. • Partner closely with engineering, product, and leadership to reduce operational risk. • Proactively monitor application health and performance across cloud infrastructure (AWS). • Lead incident response, including triage, mitigation, root cause analysis (RCA). • Lead and participate in disaster recovery drills and security incident simulations. • Build and maintain Infrastructure as Code (IaC) using AWS-native tooling. • Collaborate with development teams to improve CI/CD reliability. • Work closely with stakeholders and product teams to ensure technical reliability aligns with business needs. • Reduce operational toil through automation, tooling, and process improvements. • Champion best practices across security, availability, performance, and incident response.

• Manage complex cloud-based architectures using AWS services like EC2, Lambda, RDS, S3, EFS, and VPC to support scalable, high-performance game development workflows. • Implement test automation and ensure pipeline efficiency across platforms. • Develop and enforce best practices for configuration management, infrastructure as code (IaC), and version control. • Define SLAs, SLOs and SLIs, runbooks, and other monitoring and incident response patterns, including automation and notifications. • Ensure OSE’s CI/CD cloud infrastructure is scalable, reliable, performant, and secure. • Work with game teams to build-out, maintain, and evolve the company’s build, test, and deployment systems and pipelines (CI/CD and test automation). • Architect and optimize continuous integration and deployment pipelines for building, testing, and deploying PC/console games using Jenkins, Git, and Perforce. • Design and implement custom metrics and dashboards to monitor performance, availability, and reliability of game servers, CI/CD pipelines, and backend services, ensuring operational transparency and actionable insights. • Profile and optimize system resource usage (CPU, memory, disk I/O, and network) for both game servers and CI/CD systems, ensuring efficient resource allocation and minimizing bottlenecks in the pipeline and production environments. • Implement log aggregation and analysis systems using AWS CloudWatch Logs to centralize logs across services, making troubleshooting and incident response efficient. • Beyond gathering functional requirements, work diligently to surface quality attributes and other non functional specifications. • Develop and maintain concise software and technical design documents. • Work well as part of a collaborative and flexible team. • Stay up-to-date with industry trends and emerging technologies in DevOps and gaming, recommending improvements to enhance our development processes.

• Architect and implement scalable, production-grade infrastructure on Azure and AKS; • Lead infrastructure delivery for an ML platform (TimescaleDB, message queues, autoscaling); • Design and own CI/CD pipelines and deployment strategies; • Set the bar for infrastructure quality - changes are tested, validated, and documented before sign-off; • Establish best practices across the team.