Senior Software Engineer – Identity Resolution

Role overview Build and support software for systems that identify, match, and link records across large, varied datasets. The work spans distributed batch processing and fast backend services for real-time identity lookups, with close collaboration across engineering, architecture, data, product, and security teams.

Responsibilities - Design, implement, test, and maintain identity and entity resolution platforms and services. - Develop batch and real-time workflows, including low-latency APIs and large-scale Spark applications. - Create matching and record-linkage capabilities using normalization, fuzzy comparisons, confidence scoring, and identity consolidation. - Improve performance and reliability across application code, SQL, data pipelines, and distributed workloads; investigate production issues. - Add automated validation, monitoring, logging, and metrics to support accurate and dependable systems. - Contribute to technical design and code reviews, guide other engineers, and coordinate implementation with partner teams.

Requirements - At least five years of professional software development experience, including production systems. - Strong Java, Python, and Scala skills, along with hands-on Apache Spark and SQL experience. - Practical experience with AWS and Databricks for cloud-based data processing. - Familiarity with identity or entity resolution, customer data consolidation, record linkage, or related matching systems. - Ability to own complex work and collaborate with technical and product stakeholders; a relevant degree or equivalent experience.

Nice to have - Experience building identity graphs or deterministic and probabilistic matching systems. - Background with streaming architectures, graph data, containers, infrastructure as code, or observability tools. - Experience handling large consumer, marketing, financial, advertising, or customer datasets.