Senior Software Engineer @ Attentive

Software Engineering (1)

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. 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. 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!), and Inc.’s Best Workplaces.

About the Role

We’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
You understand how simple storage API semantics (e.g. consistency, eventual visibility, multi-part uploads) affect job execution
You recognize the impact of network I/O and data locality on performance and cost
You understand how 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, 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

You'll get competitive perks and benefits, 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

- Our salary ranges are determined by role, level and location

#LI-MN1

Attentive Company Values

Default to Action - Move swiftly and with purpose

Be One Unstoppable Team - Rally as each other’s champions

Champion the Customer - Our success is defined by our customers' success

Act Like an Owner - Take responsibility for Attentive’s success

Learn more about AWAKE, Attentive’s collective of employee resource groups.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

Senior Software Engineer

Data Platform

Attentive

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