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 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 Role Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture. As a Senior Software Engineer in our Fully Automated Messaging group, you will pioneer the future of personalized 1:1 marketing by architecting robust, scalable backend systems powered by advanced AI and LLMs, including cutting-edge Generative AI and GPT technologies. Collaborating with top-tier engineers, data scientists, product managers, and designers, you’ll craft the foundation and reshape the platform of multi-channel messaging experimentation to support innovative, AI-driven applications that empower marketers to forge deep, meaningful connections with consumers at scale. Your impactful work will drive the delivery of billions of tailored messages, transforming consumer shopping experiences and fueling success for the world’s leading brands. What You’ll Accomplish Develop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliability Collaborate with cross-functional teams to build applications that support communication channels for marketers Implement and optimize systems that process and deliver billions of messages daily Improve code quality through code reviews, testing, and advocating for best practices Identify and address technical debt to ensure the long-term health of our codebase Drive architectural design and technical decisions, and stay current with emerging technologies to enhance our products Your Expertise 5+ years of professional experience in software engineering focusing on backend systems Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming Experience building and maintaining scalable, high-performance applications Solid understanding of software engineering best practices, including code reviews, writing tests, and continuous integration Proven ability to collaborate effectively with cross-functional teams Nice to Haves Experience with service-oriented architecture and distributed systems Familiarity with AWS services and cloud infrastructure Knowledge of databases such as DynamoDB, Postgres, or Redis Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar) Familiarity with frontend engineering with React and TypeScript Experience with DevOps practices and tools such as Docker and Kubernetes 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 machine learning is driven by custom and open source machine learning models, lots of data and built with Python, Anyscale, Tecton, 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.
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