Senior Software Engineer, Data Platform

July 2

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Attentive

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Marketing • SaaS • Artificial Intelligence

Attentive is a leading AI-powered SMS and email marketing platform that helps businesses engage with customers through effective personalized messaging. Its products and services are designed to boost customer loyalty and revenue by leveraging AI-driven tools for messaging deliverability, audience targeting, and analytics. Attentive offers seamless integrations with various marketing tools and provides unparalleled support to enhance customer success and compliance. The platform enables businesses to create top-performing campaigns quickly and dynamically build high-performance audiences. Attentive's expertise in data-driven solutions helps businesses optimize their marketing strategies across multiple industries, including retail, e-commerce, travel, and entertainment.

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. • Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. • Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate. • With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. • Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries.

🎯 Requirements

• Track record of debugging issues across layers—from application logic to infrastructure bottlenecks—and understand the tradeoffs in system design, not just the settings in a managed UI • You don’t just know how to run jobs in tools, you understand how they operate under the hood and how connected storage impacts performance like • How simple storage API semantics (e.g. consistency, eventual visibility, multi-part uploads) affect job execution • The impact of network I/O and data locality on performance and cost • The way resource scheduling and JVM tuning influence distributed job behavior • Proven experience as a Software Engineer with a focus on high throughput scalable systems • In-depth knowledge of high throughput processing technologies such as Spark, Flink, and/or Kafka. Proficiency in Java and strong understanding of object-oriented design, data structures, algorithms, and optimization • You have development experience working with data warehouse tools like Snowflake, Clickhouse, Trino, etc • You’ve experience with open source data storage formats such as Apache Iceberg, Parquet, Arrow, or Hudi • You are knowledgeable about data modeling, data access, and data replication techniques, such as CDC • You have a proven track record of architecting applications at scale and maintaining infrastructure as code via Terraform • You are excited by new technologies but are conscious of choosing them for the right reasons

🏖️ Benefits

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