The Senior Software Engineer will architect high-throughput, scalable solutions, enhance the self-service platform, and collaborate on data-driven products.
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, 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 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-EF1
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.
Top Skills
Airflow
Apache Iceberg
Arrow
AWS
Clickhouse
Cloudflare
Datadog
DynamoDB
Esbuild
Flink
GraphQL
Helm
Hudi
Huggingface
Istio
Java
Kafka
Kinesis
Kubernetes
Metaflow
Pandas
Parquet
Planetscale
Playwright
Postgres
Python
PyTorch
React
Redis
Snowflake
Spark
Spring Boot
TensorFlow
Terraform
Trino
Typescript
Vite
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The role involves designing and building data services, creating data integration SDKs, ensuring data security, and converting functional requests into scalable data platforms.
Top Skills:
AirflowCloud Data StorageData MicroservicesGoGraph DbJavaKafkaPythonSparkSQLTime-Series Db
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and implement crypto data systems, manage project priorities, mentor team members, and communicate with stakeholders to support Coinbase's data platform.
Top Skills:
Go
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate low-latency indexing and streaming services while leading initiatives to improve system performance and reliability. Collaborate with teams to define data contracts and create SDKs.
Top Skills:
ClickhouseGoGrpcKafkaMongoDBRedisS3
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
