Design, build, and maintain high-performance, scalable APIs that power content management, metadata services, and interaction experiences.
Lead the evolution of Content Systems APIs, including content ingestion, metadata management, search, and editorial workflows.
Define and apply API standards and best practices, including versioning, contract design, and backward compatibility.
Evolve existing content metadata models and services to support personalization, discoverability, and real-time engagement use cases.
Integrate Content Systems with personalization engines, enabling real-time decisioning based on content metadata and user behavior.
Collaborate with content, editorial, and product teams to ensure APIs support content lifecycle workflows (ingestion, curation, publishing, and updates).
Design APIs for event-driven content pipelines, integrating with Kafka, Pub/Sub, or similar messaging platforms.
Enable seamless data flow between content systems, personalization services, ad systems, and client applications.
Optimize APIs for performance, scalability, and reliability under high traffic conditions and global usage.
Leverage AI-assisted development tools to accelerate API and service development, testing, and debugging.
Participate in architecture discussions, RFCs, and cross-team technical initiatives.
Mentor engineers and promote best practices in API design, content systems architecture, and distributed system development.

BS in Computer Science or related technical field, or equivalent functional experience.
8+ years of professional software engineering experience, with 2+ years in a technical lead or senior engineering role.
Proven track record of leading complex technical initiatives to successful completion.
Strong proficiency in Java (17+) and Spring Boot — building RESTful APIs, data access layers, and microservices.
Production experience with React and Next.js (or equivalent modern frontend frameworks) using TypeScript.
Experience with Python for services, scripting, or data pipelines.
Solid knowledge of relational databases (PostgreSQL, MySQL) — schema design, query optimization, and migration tooling (e.g., Liquibase, Flyway).
Experience with message brokers and event-driven architecture — Apache Kafka, GCP Pub/Sub, or similar.
Experience with search infrastructure — Apache Solr, Elasticsearch, or equivalent.
Hands-on experience with cloud platforms (GCP or AWS) and containerized deployments (Docker, Kubernetes).
Strong CI/CD experience — building and maintaining automated build, test, and deployment pipelines.
Excellent written and oral communication skills, with the ability to translate technical complexity for diverse audiences.

Lead Software Engineer – Content Systems

Key skills