Design and evolve a scalable event streaming infrastructure that supports high-volume, low-delay data flows for critical messaging, personalization, and data integration needs
Develop and enhance self-service capabilities for event monitoring, troubleshooting, performance testing, and configuration to accelerate development across product and data teams
Streamline and update the streaming architecture by eliminating redundant layers, granting direct access for advanced users, and supporting both standardized and custom workflows
Address challenges in distributed systems, focusing on reliable event delivery, efficient resource use, and seamless integration between real-time and batch processing
Lead technology decisions and promote proven practices in event streaming, balancing innovation with system stability and long-term maintainability
Work closely with engineering teams across product, data, and infrastructure to deliver new features, integrations, and scalable solutions built on streaming technologies

Minimum of 5 years of experience designing and maintaining large-scale, high-throughput distributed systems, particularly those involving event streaming or messaging platforms
Strong knowledge of distributed streaming systems such as Kafka, Flink, Pulsar, or Spark, including internal architecture and operational behavior
Proficiency in Java with Spring Boot and solid grasp of object-oriented design, data structures, and algorithmic principles
Skilled at diagnosing cross-layer issues—from event serialization and schema management to network and JVM performance—and articulating technical tradeoffs
Understanding of resource scheduling, data locality, and how infrastructure decisions affect cost and system performance
Experience building or using observability tools and developer tooling for streaming systems, including tracing, metrics, and event replay
Expertise in infrastructure-as-code using Terraform and Helm, with hands-on experience in Kubernetes (EKS) and cloud-native environments
Demonstrated experience modernizing platforms by retiring outdated systems, adopting managed services, or introducing self-service functionality

Enthusiastic about emerging technologies but focused on practical adoption that addresses real business needs

The US base salary range for this full-time position is $150,000-$210,000 annually + equity + benefits

full-time

engineering

The US base salary range for this full-time position is $150,000-$210,000 annually + equity + benefits
Our salary ranges are determined by role, level and location

not specified

Attentive is hiring a Senior Software Engineer, Streaming