Design, build, deploy, and operate production optimization applications powered by machine learning and advanced algorithms. Develop evaluation and testing systems, ensure reliability and observability, and direct AI coding agents through precise specifications and reviews. Collaborate with customers and cross-functional teams to translate business needs into scalable solutions, communicate risks, and influence product direction.

Design and operate cloud-native platforms for software, release, and production validation. Build Kubernetes-based infrastructure, CI/CD pipelines, observability, quality gates, automated testing, resilience controls, and self-service environments. Lead architecture decisions and cross-team projects, resolve complex infrastructure challenges, reduce operational toil, and mentor engineers while promoting reliability and operational excellence.

Own production database troubleshooting, incident root-cause analysis, performance tuning, observability, and automation across large-scale PostgreSQL and MariaDB fleets. Support multi-tenant cloud infrastructure, analyze Linux and distributed-system performance, conduct stress testing, influence platform decisions, and mentor engineers. The role requires extensive relational database, web application, Unix, SaaS, and production support experience, with desired skills in Python, JavaScript, Ansible, Kubernetes, and CI/CD.