Senior Data Platform Engineer – Cloud-Native & Real-Time Data

Fidelity Investments Inc.; Roanoke (TX); Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Fidelity Investments Inc. is seeking a senior engineer for the Brokerage Authorization team within Shared Services Engineering to help build and operate a core access-control platform.

This role supports secure, scalable access to Brokerage Recordkeeping Technology during a shift from mainframe to cloud-native architectures. The position emphasizes designing distributed data pipelines, managing database objects, and implementing real-time data integration with Kafka and CDC patterns, with a

Formación

• Bachelor’s degree in computer science or equivalent experience.
• 10+ years designing and implementing full-stack customer-facing applications.
• 7+ years in complex architectural designs and technology initiatives.
• 5+ years in agile development (Scrum/Kanban).
• Experience handling INC management / Problem Management of Tier 0 platforms and driving 24x7 operational excellence.
• Understanding of RBAC, ReBAC, JWT-based authorization, and OAuth 2.0.
• Cloud-native and distributed databases; designing, developing, and managing database objects and data pipelines.
• SQL development, stored procedures, and scalable data solutions across cloud environments.
• CDC technologies and patterns for real-time data movement.
• Integration of cloud databases with Kafka for reliable data flows.
• Data migration and modernization strategies for cloud-based platforms.
• Real-time and near real-time data ingestion pipelines in cloud-native architectures.
• DevOps CI/CD tools like Jenkins.
• Production support, incident management, root cause analysis, high availability.

Descripción del empleo

Fidelity Investments Inc. is seeking a senior engineer for the Brokerage Authorization team within Shared Services Engineering to help build and operate a core access-control platform.

This role supports secure, scalable access to Brokerage Recordkeeping Technology during a shift from mainframe to cloud-native architectures. The position emphasizes designing distributed data pipelines, managing database objects, and implementing real-time data integration with Kafka and CDC patterns, with a