What You’ll Accomplish
- Design, build, and optimize high-scale systems that accurately resolve fragmented customer identities across first-party and third-party data sources
- Develop advanced session enrichment capabilities to enhance anonymous and known user tracking, improving attribution and personalization
- Extend core algorithms that power real-time identity stitching and device graphing
- Collaborate cross-functionally with data science, product, and analytics teams to create flexible identity models that support a wide range of business use cases
- Continuously monitor, evaluate, and improve the accuracy, speed, and scalability of our identity resolution and tracking systems
Your Expertise
- 5+ years of professional experience in software development
- Experience maintaining high-scale, real-time data processing systems
- Strong communication skills and a product-oriented mindset — able to understand the “what” and “why” behind technical work, collaborate effectively with Product and Analytics teams, and translate business needs into scalable solutions
Nice to Haves
- Comfortable working in a fast-paced, experiment-driven environment where priorities shift and learning quickly is key
- Familiarity with frontend browser technologies such as cookie lifecycles and common analytics or fingerprinting libraries
- Experience with analytics or working with data pipelines and analytics infrastructure, such as Spark jobs, and supporting downstream analytics use cases
- Experience working with Java / Spring, streaming technologies such as Pulsar AWS infrastructure
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
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