• Develop, scale, and operate OpenShift managed cloud services • Enable customer self-service and improve monitoring systems • Eliminate work through automation • Participate in a regular on-call schedule, including occasional paid weekends and holidays • Resolve customer issues escalated from the Red Hat Global Support team • Work within a small agile team to develop and improve SRE software

• On-Premise Provisioning and Administration • Experience with Kubernetes (k8s), ArgoCD, FLuxCD, and Containers • Jenkins with JCASC • Artifact repository services such as: JFrog Artifactory, Nexus, or Quay.io • Atlassian Stack (Jira, Confluence, Bitbucket) • IaaS Provisioning tools such as Ansible, Chef, Salt, Puppet etc. • Experience with common scripting languages Python, REST APIs, Groovy • Experience with Linux and Windows server administration in Hybrid Environments • Knowledge of proper monitoring, maintenance, and disaster recovery of critical services • Ability to document processes/procedures.

• Own and scale ZayZoon’s ​​AWS infrastructure to ensure reliability, performance, and security. • Design and automate infrastructure provisioning using CloudFormation, build CI/CD pipelines and manage existing infrastructure stacks. • Optimize our PostgreSQL databases for high availability and performance. • Improve monitoring and observability when possible, ensuring detection and a proactive resolution of issues. • Designing secure (SOC-2 and cybersecurity compliance), scalable cloud services in AWS. • Evaluate and remediate Critical and High CVEs across all our services on a moment’s notice. • Work cross-functionally across multiple teams such as development, data, testing, and security to convey concepts and build understanding as well as improve deployment processes. • Apply DevOps best practices in everything you do - there are many ways to do things, and you bring the best of them to our environment.

• Architect and maintain scalable, highly available infrastructure for our GenAI platform. • Design and implement robust monitoring, alerting, and observability solutions to proactively ensure system health and performance. • Automate deployment, scaling, and management of our cloud-native infrastructure, reducing toil and improving efficiency. • Define, measure, and improve Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to deliver outstanding service quality. • Participate in on-call rotations and provide rapid response to production incidents, minimizing downtime and user impact. • Collaborate closely with development teams to build reliable, scalable, and efficient systems for complex AI workloads. • Lead incident response efforts, conduct thorough post-mortems, and champion continuous improvement initiatives. • Optimize infrastructure for performance, scalability, and cost-effectiveness—especially for high-demand AI workloads. • Implement and enforce security best practices across all systems and environments. • Create and maintain comprehensive documentation, including runbooks and knowledge base articles, to foster a culture of shared knowledge.