Jobs and Careers

Senior Software Engineer, Data Platform

United States, United Statesfull_timeVerifiedPosted 1 Jul 2025

💰 $210,000/yr($144,840/yr – $210,000/yr)

About the role

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. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!
About the RoleWe’re looking for a self-motivated, highly driven Software Engineer with a strong understanding of low-level distributed systems concepts - not just tool users, but systems thinkers. We want engineers who are comfortable reasoning about how infrastructure behaves under load, how services communicate over the network, and how data flows through complex architectures. Our team is focused on building the platform to support data driven products and strategic outcomes for our customers. We do this by providing an extensible and flexible compute platform to access highly available, mission critical data sets.

What You'll Accomplish

Architect high-throughput solutions that power our most critical operations, ensuring scalability and efficiency
Expand and enhance our self-service platform, collaborating with cross-functional teams to fuel our AI, ML, and analytics goals
Tackle complex distributed data challenges, streamline system integrations, and uphold high standards of quality and governance
Champion cutting-edge technologies, keeping our platform at the forefront of industry advancements and enabling strategic outcomes
Unify data from diverse systems, paving the way for experimentation and innovation while empowering teams with intuitive tools and frameworks

Your Expertise

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