Job Specifications
Job Title: Senior Software Engineer, Data - Enterprise Engineering
Company: Roku
Location: Manchester
(Onsite Monday to Thursday
Remote on Fridays)
Start Date: ASAP
About The Team
The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization. As a cornerstone of Roku's corporate strategy, this team is instrumental in automating workflows across all Business Systems, including Supply Chain, Finance, Sales Operations, and Human Resources. By challenging traditional approaches to workflow automation, the team leverages cutting-edge Engineering practices and API-driven design to streamline internal processes, boost efficiency, and deliver innovative solutions.
The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, Data Platform services, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their success is a shared commitment to technical excellence, creativity, a strong sense of ownership, and a collaborative spirit that drives impactful results for Roku's business operations.
About The Role
As a senior technical lead, you consider yourself a data platform services developer and developing innovative solutions using modern software frameworks and paradigms. You are self-driven and problem solver, with a strong background in building large-scale software platform and applications. You are execution focused and would develop a reputation for repeatedly delivering projects on-time.
What you'll be doing
Architecture, Design, Development and Implementation of Data Warehousing, Big Data, Data Analytics software solutions in on-premises or cloud environments
Software development and Data Integration working on Data warehouse, big data processing and distributed systems.
Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline
Partner with security and compliance teams to ensure the application meets compliance, security and audit requirements
Participate in the continual improvement of engineering tools, cloud-based technologies/services, and process
Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
Collaborate with cross-function teams and demonstrate great communication skills
We're excited if you have
7+ years of experience in delivery multi-tier, highly scalable, distributed web application
Experience working with Distributed computing frameworks knowledge: Hive/Hadoop, Apache Spark, Kafka, Airflow
Working with programming languages Python, Java, SQL.
Working on building ETL (Extraction Transformation and Loading) solution using PySpark
Experience in SQL / NoSQL database design
Deep understanding in software architecture, object-oriented design principles, and data structures
Extensive experience in developing microservices using Java, Python
Good experience in Test driven development and automating test cases using Java/ Python
Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, entrepreneurial spirit
Excellent verbal and written communication skills
BS or MS degree in Computer Science or equivalent
Nice to Have
Experience in developing Finance or HR related applications
Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda
Working experience with Terraform
Working experience with Business Intelligence tools like Tableau, QuickSight, Looker