engineering
Posted 6 days agoSenior Software Engineer, Streaming
at attentive
United StatesOn-site
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 Your Expertise 5+ years
- Track record of modernizing platforms: sunsetting legacy systems, moving to managed services, or implementing self-service capabilities
Requirements
- Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect.
- By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries.
- 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
- 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
- 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
Benefits
- You'll get competitive perks and
- benefits , from health & wellness to equity, to help you bring your best self to work.
- 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 #LI-AB2
Additional details
- We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships.
- Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture.
- We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index ! About the Role
- 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.
- In this role, you’ll help shape the future of our streaming architecture, moving us to modern platforms, and unlocking new capabilities for debugging, load testing, and observability.
- Your work won’t just keep the pipes flowing it will directly influence how quickly we can experiment, personalize, and scale across millions of devices and billions of events.
- experience architecting and supporting high-throughput, distributed systems at scale—especially those involving event streaming or messaging platforms
- 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 •
- Excited by new technologies, but pragmatic about introducing them—focused on solving real business problems What We Use