Note: The job is a remote job and is open to candidates in USA. Attentive is an AI marketing platform for 1:1 personalization redefining the way brands and people connect. They are seeking a Senior Software Engineer to join the Streaming team, responsible for shaping the future of the event streaming architecture and enhancing the capabilities for debugging and load testing.
Responsibilities
- Architect and evolve Attentive’s next-generation event streaming platform: Design high-throughput, low-latency solutions that power mission-critical messaging, personalization, and data integration use cases across Attentive’s ecosystem
- Enhance self-service for product engineering and data teams: Build and refine self-serve tools for event observability, debugging, load testing, and system configuration, empowering teams to experiment and ship quickly
- Simplify and modernize streaming architecture: Remove unnecessary abstraction layers, enable direct access for power users, and ensure the platform is flexible for both “paved path” and advanced use cases
- Solve complex distributed systems challenges: Improve event delivery reliability, cost efficiency, and system integration for real-time and batch workloads
- Champion best practices and technology selection: Stay ahead of industry advancements in event streaming, advocating for tools and approaches that balance innovation with long-term reliability
- Collaborate across engineering: Partner with product, data, and infrastructure teams to launch new customer-facing features, integrations, and scalable solutions built on streaming infrastructure
Skills
- 5+ years experience architecting and supporting high-throughput, distributed systems at scale—especially those involving event streaming or messaging platforms
- Deep understanding of the internals of distributed streaming frameworks such as Kafka, Flink, Pulsar, and/or Spark
- Proficient in Java (Spring Boot) and familiar with modern development practices, including object-oriented design, data structures, and algorithms
- Able to debug issues across the stack—from message serialization and event schemas to network and JVM tuning—and communicate tradeoffs clearly
- Familiar with resource scheduling, data locality, and how infrastructure choices impact cost and system behavior
- Experience with observability and developer tooling for streaming (e.g., tracing, metrics, replay)
- Infrastructure-as-code expertise (Terraform, Helm), comfortable with Kubernetes (EKS) and cloud-native environments
- Track record of modernizing platforms: sunsetting legacy systems, moving to managed services, or implementing self-service capabilities
- Excited by new technologies, but pragmatic about introducing them—focused on solving real business problems
Benefits
- Equity
- Benefits
- Competitive perks and benefits
- Health & wellness
Company Overview
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