• Own and operate our GCP environment (networking, IAM, compute, storage, managed services) • Design and maintain infrastructure as code (e.g. Terraform) • Ensure environments are secure, well-structured, and cost-aware • Act as a technical expert on cloud architecture decisions • Own and evolve the data technology stack (data stores, pipelines, access patterns) • Ensure data systems are reliable, observable, and fit for analytics and product use • Define standards for data integrity, retention, access, and backup • Own CI/CD pipelines and release safety practices • Design and maintain observability (metrics, logs, tracing, alerts) • Coordinate incident response, post-incident reviews, and remediation • Ensure teams can safely deploy and operate what they build • Own infrastructure-level security posture (IAM, secrets, network controls) • Coordinate and support audits, penetration tests, and risk reviews • Design and run backup and disaster recovery testing (regular, proven recovery) • Proactively identify risks and lead mitigation planning • Produce clear documentation for architecture, runbooks, and operational processes • Partner with engineers to embed reliability and security into everyday delivery • Act as an escalation point for complex operational and infrastructure issues

• Operate and evolve the data platform infrastructure, ensuring scalability, security and high availability • Automate resource provisioning with Terraform, maintaining quality standards • Support the operation of the internal AI platform, ensuring necessary resources for applications such as LLM gateways, agents and interfaces • Implement and monitor observability standards: ensure effective logging, alerts and metrics across all supported platforms • Collaborate with Data, AI and Infrastructure technical teams, providing practical solutions for critical and high-availability environments • Document technical decisions, processes, procedures and other operational best practices to facilitate team growth and stack evolution

• Learn Five9 products and processes • Gain a working understanding of contact center terminology, processes, and telephony requirements • Participate in opportunities to apply related knowledge in both practice and production environments • As knowledge develops, become more involved in actual client project implementation work • Effectively communicate with internal and external stakeholders.

• Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls. • Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults. • Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%