What You’ll Accomplish
- Develop and maintain scalable systems that power personalized messaging decisions across millions of subscribers
- Partner with data scientists and ML engineers to productionize models for send-time optimization and subscriber engagement propensity
- Optimize real-time and batch pipelines for performance, reliability, and experimentation at scale
- Improve feedback loops and experimentation frameworks to continuously enhance personalization performance
- Drive engineering best practices in ML systems, experimentation, and high-scale personalization infrastructure
- Improve code quality through code reviews, testing, and advocating for best practices
- Contribute to technical decisions and stay current with emerging technologies to enhance our products
- Collaborate cross-functionally with product, design, and analytics to ship impactful, data-driven features
- Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance
Your Expertise
- 9+ years of professional experience in software engineering focusing on backend systems
- Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming
- Experience building and maintaining scalable, high-performance applications that maintain a high bar of quality
- Solid understanding of software engineering best practices, including code reviews, writing tests, and continuous integration.
- Proven ability to collaborate effectively with cross-functional teams
- You are excited by new technologies, but are conscious of choosing them for the right reasons
Nice to Haves
- Experience with service-oriented architecture and distributed systems
- Familiarity with AWS services and cloud infrastructure
- Knowledge of databases such as DynamoDB, Postgres, Snowflake or Redis
- Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar)
- Familiarity with frontend engineering with React and TypeScript
- Experience with DevOps practices and tools such as Docker and Kubernetes
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, Kinesis, AirFlow, Postgres, Planetscale, 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 machine learning is driven by custom and open source machine learning models, lots of data and built with Python, Anyscale, Tecton, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
Top Skills
What We Do
Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love.
To learn more about Attentive or to request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Why Work With Us
At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.
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