Senior Software Engineer, Streaming

We’re looking for a highly driven Senior Software Engineer to join our Streaming team, which powers the backbone of Attentive’s messaging and personalization platform. Our event streaming systems handle over 2 million messages per second and sit at the heart of how product and data engineering teams build real-time, customer-facing experiences.

What You’ll Accomplish

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

Your Expertise

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

What We Use

Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS

Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm

Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS

Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright

Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

The US base salary range for this full-time position is $150,000 - $205,000 annually + equity + benefits

Our salary ranges are determined by role, level and location

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