Senior Software Engineer - Backend & Data

Roku · Bengaluru

  • Experience7–11 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted8 Sept 2026
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About Roku

Roku is hiring in Bengaluru in media advertising. This role looks for around 7+ years of experience.

Skills

  • Java
  • distributed systems
  • Apache Spark
  • Kafka
  • Apache Flink
  • Spring Boot
  • microservices architecture
  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • SQL
  • NoSQL

The role

A backend and data engineer at a media advertising product company designs distributed data pipelines and real-time processing systems with Java, Apache Spark, and Kafka, building scalable backend solutions for large-scale data. The role also applies distributed systems and Spring Boot to optimize reliable, high-throughput services.

Full job description

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 handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We're always in build mode because we're a company of data-focused builders. Every day, you'll look at what exists and find ways to make it better.

The core responsibilities for the job include the following:

Design and Development:

Architect, develop, and maintain scalable backend systems.

Build distributed data pipelines for batch and real-time data processing.

Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

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.

Real-Time Processing:

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.

Java Expertise:

Write clean, efficient, and reusable code in Java, adhering to industry best practices.

Optimize Java applications for performance, scalability, and reliability.

Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

Monitor, troubleshoot, and optimize 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).