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Urgent! Senior Software Engineer, Data Platform Job Opening In USA, USA – Now Hiring Attentive

Senior Software Engineer, Data Platform



Job 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 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 or follow us on , (formerly Twitter), or .Attentive’s growth has been recognized by , and 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 ( 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
  • 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 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 , 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 $144,840 - $210,000 annually + equity + benefits- Equity is a substantial part of the total compensation package- Our salary ranges are determined by role, level and location#LI-EF1Attentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive’s success


    Required Skill Profession

    Computer Occupations



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    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Attentive adheres to the cultural norms as outlined by Expertini.

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      Attentive interview tips for Senior Software Engineer, Data Platform

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      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
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      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
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      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
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      Final Thought:

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