
Index Exchange
Open Positions at Index Exchange
8 open positions
Own and improve the developer workflow at internet scale by building internal tools, streamlining CI/CD, and reducing friction across engineering teams. This senior role combines developer-experience strategy with hands-on software development, infrastructure tooling, and cross-functional technical leadership.
Lead the architecture and development of Index Exchange’s globally distributed Index Cloud platform, building Kubernetes infrastructure, platform APIs, and developer tooling at internet scale. This Staff-level role focuses on creating foundational systems rather than day-to-day operations.
Lead the architecture and delivery of Index Cloud, a globally distributed platform supporting internet-scale real-time advertising workloads. This Staff role builds Kubernetes infrastructure, infrastructure-as-code frameworks, platform APIs, and developer tooling rather than handling day-to-day operations.
Lead database reliability engineering across global data domains, driving technical strategy, operational rigor, and scalable database platforms. This staff-level role combines deep database expertise with reliability leadership across Kubernetes, bare metal, and cloud environments.
Staff SDET and technical quality leader responsible for building scalable test automation, frameworks, and infrastructure for Index Exchange’s high-scale distributed advertising platform. The role drives quality strategy, developer enablement, resilience, and cross-team engineering excellence as a hands-on individual contributor.
Senior Storage Engineer responsible for designing, operating, and scaling resilient Ceph-based storage infrastructure across Index Exchange’s global platform. The role combines automation, monitoring, disaster recovery, and distributed-systems operations at planet scale.
Lead the architecture and delivery of large-scale machine learning solutions for Index Exchange’s high-volume digital advertising platform. This role focuses on production ML systems, model deployment, data pipelines, and real-time inference at internet scale.
Senior Machine Learning Engineer leading the design and productionization of enterprise-scale MLOps platforms and high-performance machine learning systems. The role combines model lifecycle governance, scalable backend engineering, and low-latency inference at internet scale.