Netflix is seeking a strategic L5 Software Engineer for their Talent Tech Engineering team to drive the design, development, and governance of data integrations across their HR systems ecosystem, with emphasis on scalable, secure, and future-proof solutions.
Requirements
- Hands-on Temporal experience designing durable workflows, handling failures, managing long-running processes, and implementation
- Strong Workday background including data model and integration frameworks (Workday Studio, EIB, APIs, Extend)
- Deep experience in data architecture, data integration, and API design (REST, GraphQL, gRPC)
- Proficiency with data warehouses (examples: Snowflake, Redshift, BigQuery) and data lakes (S3, Databricks, Delta Lake)
- Experience with ETL/ELT tools, pipeline orchestration (Airflow, Dagster), and event-driven patterns (Kafka, Kinesis)
- Proficiency in modern programming languages (Python, Java, TypeScript/Node.js, Go)
- Experience building complete web applications with modern frameworks (React, Vue, Angular)
Responsibilities
- Design and evolve HR data integration architecture ensuring scalability, reliability, and security
- Define and enforce integration standards, best practices, and governance (data quality, lineage, compliance)
- Lead development of integrations between Workday, data warehouses, data lakes, and enterprise systems
- Architect and implement workflow orchestration using Temporal for reliable, durable task execution
- Build and scale API marketplace using Netflix's paved road technologies
- Develop full-scale applications when business needs require end-to-end solutions
- Build internal tools, self-service portals, and specialized applications leveraging the data infrastructure
Other
- Strong leadership, influence, and mentoring skills driving alignment across technical and business stakeholders
- Excellent communication translating complex technical concepts for non-technical audiences
- Track record of driving technical strategy and architecture decisions at scale
- Demonstrated experience with emerging technologies (serverless, data mesh, API gateways, observability tools)
- Understanding of cloud-native architectures and containerization (Docker, Kubernetes)
