• Own and evolve Jira Cloud, Confluence Cloud, and Loom Enterprise as secure, scalable collaboration platforms. • Define and roll out governance standards for workflows, permissions, templates, and information architecture that scale across teams. • Reduce configuration sprawl and platform technical debt to improve maintainability, reporting consistency, and user experience. • Design and implement automation and integrations using Jira Automation, APIs, and scripting to replace manual processes with durable solutions. • Partner with Engineering and TPM teams to align workflows with SDLC best practices and enable consistent execution across orgs. • Improve visibility and confidence in reporting by standardizing configuration patterns and driving adoption of best practices. • Enable async first collaboration by strengthening Loom adoption and defining clear patterns for using video updates effectively. • Maintain platform reliability, security, and operational excellence, including incident response and durable follow through on root causes. • Create and maintain clear documentation, runbooks, and scalable operational practices.

• Design, deploy, and operate cloud infrastructure in AWS, Azure, and/or GCP • Build and manage managed Kubernetes clusters (EKS, AKS, GKE) • Implement best practices for cloud security , including IAM, network segmentation, and secure workloads • Design and maintain cloud networking and routing , including VPC/VNet architecture, load balancing, and private connectivity • Collaborate with application teams to support scalable, resilient deployments • Work within Agile development processes , contributing to planning, standups, and retrospectives • Use Git-based workflows for infrastructure and configuration management • Troubleshoot production issues and continuously improve reliability and performance

• Design and implement a new Azure tenant from scratch • Establish governance frameworks, policies, access controls, and compliance standards • Architect the Azure environment to meet defined performance, scalability, and availability requirements • Configure and manage various Azure services, including Azure Traffic Manager and Azure Kubernetes Services • Implement security best practices and ensure high availability and business continuity • Collaborate with development teams and conduct knowledge transfer sessions

• Maintain the health, security, and performance of AWS environments while ensuring reliable execution of automated job scheduling workflows using TWS. • Provision, configure, and maintain AWS resources including EC2, S3, IAM, and VPCs in alignment with the AWS Well-Architected Framework. • Operate and support the TWS/IWS platform, including job stream monitoring, dependency management, and agent health checks. • Enforce least-privilege access controls using AWS IAM. • Triage, diagnose, and resolve incidents involving AWS infrastructure and failed or delayed scheduling batches. • Identify performance bottlenecks and inefficiencies related to cloud resource usage and job throughput. • Maintain, test, and document backup and disaster recovery strategies for AWS resources and TWS databases.