Jobs · Engineering · California

Senior Software Engineer, Content Platform

Roku · San Jose, CA · 2 wk ago
HybridEngineering$300k–$425k/yrFull-time

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on our investment in our capabilities.

We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data.

Responsibilities

  • Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
  • Build distributed data pipelines for batch and real-time data processing.
  • Design efficient, scalable systems to process large volumes of data.
  • Leverage big data technologies such as Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
  • Work on data transformation, ingestion, and integration for both structured and unstructured data.
  • Implement solutions for data lake and data warehouse integrations.
  • Develop and maintain real-time data processing applications to support business-critical use cases.
  • Optimize real-time data flows for low latency and high throughput.
  • Write clean, efficient, and reusable Java code that adheres to industry best practices.
  • Optimize Java applications for performance, scalability, and reliability.
  • Leverage Java frameworks such as Spring Boot for backend development.
  • Maintain and monitor backend and data systems to ensure high availability and reliability.
  • Design and implement performance tuning strategies for large-scale distributed systems.

Requirements

  • 7+ years of experience in backend development and distributed data processing.
  • Proven expertise in designing and building scalable systems with Java.
  • Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
  • Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
  • Strong understanding of distributed systems and microservices architecture.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Knowledge of SQL and NoSQL databases (e.g., DynamoDB or Aerospike).

Qualifications

  • BS/MS in Computer Science or related field.
  • Experience with distributed systems and microservices architecture.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with big data technologies such as Apache Spark, Kafka, and Flink.
  • Experience with Java and Java-based frameworks (Spring, Spring Boot, etc.).
  • Experience with SQL and NoSQL databases (e.g., DynamoDB or Aerospike).

Skills

  • Java programming skills.
  • Experience with distributed systems and microservices architecture.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with big data technologies such as Apache Spark, Kafka, and Flink.
  • Experience with SQL and NoSQL databases (e.g., DynamoDB or Aerospike).

Benefits

  • Health insurance
  • Equity awards
  • Life insurance
  • Disability benefits
  • Parental leave
  • Wellness benefits
  • Paid time off

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