The role involves designing and building scalable messaging systems, providing technical leadership, and improving system observability, performance, and reliability.
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
The Messaging Platform team is at the core of Attentive’s product, delivering high-volume, time-sensitive, personalized messages across SMS/RCS, Email, and Push. We build a resilient messaging platform that sends messages accurately, compliantly, and at scale, with outcome tracking that powers deliverability reporting, replay, and operational insight.As a Senior Software Engineer, you will lead the design, development, and evolution of distributed systems that power Attentive’s messaging infrastructure.
What You'll Accomplish
- Design and build scalable, fault-tolerant systems that reliably deliver billions of messages weekly across SMS/RCS, email, and push channels
- Anticipate the future needs of the messaging platform and proactively design solutions that support growth, new channels, and evolving compliance requirement
- Serve as a technical connector across engineering, product, infrastructure, and partner teams to deliver high-quality, high-impact platform capabilities
- Lead and contribute to company-wide engineering initiatives, including platform reliability, infrastructure modernization, and operational excellence
- Provide technical leadership and mentorship, helping engineers grow while reinforcing best practices around system design, testing, and production readiness
- Improve system observability, performance, and resiliency, reducing operational risk and improving customer trust
Your Expertise
- 5+ years of professional software engineering experience, with a deep focus on designing and operating high-throughput, distributed backend services.
- Mastery of at least one modern backend language (e.g., Java, Go, or Python) and a strong grasp of object-oriented design, API development, and performance optimization.
- Deep understanding of messaging patterns, including hands-on experience with streams, queues, idempotency, and robust failure-handling strategies.
- Proven track record of architecting secure, reliable systems and maintaining a high bar for code quality and system health in production.
- Ability to translate high-level business goals into concrete technical plans and architectural roadmaps.
- Motivated by solving large, complex problems and continuously improving foundational infrastructure.
- Bonus if proficient in TypeScript and React to support internal products. You’ll help build features that surface deliverability data to stakeholders and contribute to front-end components for our email infrastructure.
- Bonus with experience developing against messaging APIs for SMS, email, or push notifications (e.g., Twilio, SendGrid, or Firebase).
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 $150,000 - $210,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-AB2
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
AWS
Cloudflare
Datadog
DynamoDB
Esbuild
Go
Gradle
GraphQL
Huggingface
Java
Kubernetes
Machine Learning
Metaflow
Pandas
Playwright
Postgres
Python
PyTorch
Radix Ui
React
Redis
Spring Boot
Storybook
TensorFlow
Terraform
Typescript
Vite
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