Head of Cloud-Native Content Platform Engineering

Roku; United States; Hybrid; USD 328,500 - 451,600; Full time

Benefits offered by this job

Health insurance

Equity awards

Life insurance

Disability benefits

Parental leave

Wellness benefits

Paid time off

Mental health resources

Financial wellness resources

Job summary

Roku is seeking a highly technical Senior Engineering Manager to lead our Core Content Platform team. You will define the technical vision and drive a scalable, cloud-agnostic data layer that unifies legacy services and incorporates AI capabilities.

You will manage a distributed team of senior engineers across US-based and global groups, ensure real-time pipelines are reliable, and align architecture with business goals while maintaining high uptime and performance.

Qualifications

• 10+ years of hands-on experience in data engineering, backend architecture, and building highly scalable, distributed data platforms.
• 7+ years of direct engineering management experience, with recruiting, leading, and retaining senior-level talent and managing distributed teams.
• Hands-on experience developing or managing GenAI-driven platforms, or natively integrating machine learning pipelines into core data services.

Responsibilities

• Drive the architectural roadmap for the data platform to ensure scalability, availability, and cloud-agnostic design.
• Oversee the design and deployment of real-time streaming pipelines and distributed data architectures using Scala 3, Flink, and CockroachDB.
• Manage, mentor, and scale a high-performing engineering organization across US-based and global teams.
• Own reliability, performance, and debt management of the data platform to ensure high uptime and seamless delivery.

Skills

Data engineering

Backend architecture

Distributed systems

Real-time pipelines

GenAI platforms

Tools

Scala 3

Apache Flink

CockroachDB

Job description

Roku is seeking a highly technical Senior Engineering Manager to lead our Core Content Platform team. You will define the technical vision and drive a scalable, cloud-agnostic data layer that unifies legacy services and incorporates AI capabilities.

You will manage a distributed team of senior engineers across US-based and global groups, ensure real-time pipelines are reliable, and align architecture with business goals while maintaining high uptime and performance.