Senior Software Engineer, Advertising Engineering Roku, Inc.

Coding Black Females Ltd; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Roku is seeking a Senior Software Engineer for a hybrid role that bridges software and data engineering. You will design, build, and maintain scalable systems for application development and large-scale data processing, architecting production-grade data products and APIs using Java/Scala, SQL, Spark, Airflow, and Kubernetes.

You will collaborate with Finance, Accounting, Analytics, and engineering teams to translate business requirements into robust solutions, while driving data quality and

Qualifications

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark and Apache Airflow.
• Advanced SQL skills, with expertise in query optimisation for large datasets.
• Expertise in developing APIs and robust backend services, with strong programming skills in Python, Java, and/or Scala.

Responsibilities

• Design and build APIs and backend services using Scala and Java to support financial automation and data products.
• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
• Monitor, troubleshoot, and improve data systems to minimise downtime and maximise efficiency.
• Partner with analytics, software engineering, and other teams to deliver integrated, high-quality solutions.

Skills

Scala

Java

Python

SQL

Airflow

Spark

Kubernetes

AWS

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Apache Airflow

Docker

Kubernetes

AWS

Job description

What does the team work on?

The Revenue Automation and Data team is a key part of Roku’s Advertising organization, driving financial automation and data solutions that enable informed decision‑making across the advertising ecosystem. We work in a fast‑paced, complex environment and partner closely with Finance, Accounting, Analytics, and multiple engineering teams to deliver timely, high-impact insights into business performance. As we look ahead, we’re investing in AI‑powered capabilities to exponentially scale financial workflows and help non‑technical stakeholders translate our diverse data assets into actionable outcomes.

What is the role?

We are seeking a highly skilled Senior Software Engineer for this hybrid position which bridges software and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large‑scale data processing. In this role, you will architect and maintain production‑grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high‑performance solutions. You will collaborate with cross‑functional partners across Finance, Accounting, and Analytics to translate complex business requirements into robust technical solutions. The role involves driving data quality and operational excellence across the full lifecycle of data pipelines and backend services. You will also contribute to the team’s AI‑powered initiatives, helping to scale financial workflows and unlock actionable insights from diverse data assets. The successful candidate has a proven track record building high‑scale data services and pipelines, with strong engineering rigor and a passion for continuous improvement.

How will I use AI at Roku?

At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.

We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact.

We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.

What are the responsibilities of the role?

Software Development

• Design and build APIs and backend services using Scala and Java to support financial automation and data products
• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews

Big Data Engineering

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow
• Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance
• Develop and fine‑tune complex queries using Apache Spark for large‑scale datasets
• Monitor, troubleshoot, and improve data systems to minimise downtime and maximise efficiency

Collaboration & Mentorship

• Partner with analytics, software engineering, and other teams to deliver integrated, high‑quality solutions
• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering

What experience would help someone be successful in this role at Roku?

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark and Apache Airflow
• Advanced SQL skills, with expertise in query optimisation for large datasets
• Expertise in developing APIs and robust backend services, with strong programming skills in Python, Java, and/or Scala
• Exceptional problem‑solving abilities and the capacity to work independently or collaboratively
• Excellent verbal and written communication skills
• Strong sense of ownership in driving projects from inception to user adoption
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerisation tools like Docker and Kubernetes (preferred)
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure‑as‑code tools such as Jenkins and Terraform (preferred)
• Experience with building agentic AI systems to automate decision‑making and enhance analytics workflows (preferred)
• Experience in AdTech and advertising data platforms (preferred)