Senior Staff, Software Engineer
Role details
Job location
Tech stack
Job description
Customer 360 is a strategic platform that creates a trusted, intelligent view of customers across products, partners, subscriptions, claims, service interactions, and digital experiences. This role is full-stack, but the focus is backend, APIs, data models, databases, and platform architecture - not UI-first., Own architecture and delivery for Customer 360 data models, APIs, services, events, and supporting tools.
Build production-grade Node.js / TypeScript services with secure access, observability, and reliable operations.
Design customer data models for CustomerID, HouseholdID, profiles, subscriptions, interactions, relationships, lineage, confidence, and data quality.
Work across relational, NoSQL, graph, cache, search, and event-driven data patterns.
Partner with product, architecture, data, security, privacy, analytics, and consuming teams to drive scalable adoption.
Mentor engineers and raise engineering standards across teams.
Requirements
Do you have experience in Web services design?, 10+ years of experience building APIs, backend services, distributed systems, and data-intensive platforms.
Strong experience with Node.js, TypeScript, API design, and production service architecture.
Deep understanding of data modeling, database design, schema evolution, identity resolution, data quality, and source-of-truth patterns.
Experience with databases such as PostgreSQL, MySQL, DynamoDB, MongoDB, Redis, Elasticsearch/OpenSearch, Neo4j, or similar.
Experience with event-driven architecture, data contracts, streaming or messaging platforms, CI/CD, observability, and reliability engineering.
Ability to influence multiple teams, shape technical direction, and drive cross-functional outcomes.
Preferred Qualifications
Experience with Customer 360, customer data platforms, identity resolution, master data management, or graph-based models.
Experience with deterministic/probabilistic matching, confidence scoring, lineage, governance, Kafka, CDC, or schema registry.
Experience working in privacy-sensitive, regulated, multi-tenant, or client-segregated data environments.