Teams at Arity

Design, deploy, operate, and optimize multi-cloud data platforms and streaming infrastructure (databases, Kafka/MSK, Flink, analytics engines). Build IaC, CI/CD, monitoring and automation using Python and tooling. Lead incident response, root-cause analysis, performance tuning, and provide application-level guidance. Participate in on-call rotation and adopt emerging automation (AI agents/MCP) to improve DevOps workflows and platform reliability.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

Lead monitoring and optimization of programmatic ad campaigns using real-time and historical data. Diagnose performance issues, design A/B and multivariate experiments, partner with AdOps and Data Science to operationalize ML-driven solutions, and drive automation of campaign decisioning to scale revenue and efficiency.