What You'll Accomplish
- Lead the design and development of search and personalization platforms that optimize audience segmentation and drive client engagement
- Collaborate with engineering, product, and design teams to ensure the delivery of high-quality, innovative solutions
- Contribute to company-wide initiatives, including process improvements, infrastructure advancements, and system architecture that scale and support personalization at scale
- Provide mentorship and technical leadership, promoting engineering best practices and fostering team growth
- Simplify complex projects to ensure efficiency and reduce the workload, enabling faster and more impactful results
Your Expertise
- 10+ years of experience in software engineering, with a focus on high-throughput, distributed systems
- Strong proficiency in Java, Python, or Go, and a deep understanding of object-oriented design, algorithms, and optimization
- Proven expertise in data modeling, segmentation, and audience targeting using relational and non-relational databases
- Experience building and optimizing applications for personalization at scale
- Track record of architecting and maintaining high-performance, secure, and reliable infrastructure
- Ability to navigate ambiguous environments, turning business goals into clear, actionable plans
- Exceptional communication skills, able to work seamlessly with both technical and non-technical stakeholders
Nice To Haves
- Familiarity building segmentation platforms 0-1, AI-driven personalization systems, or marketing automation tools
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 PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
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