Software Engineer, Data Infrastructure & Acquisition
Summary
Build and maintain scalable data pipelines and acquisition systems to power Speechify’s text-to-speech platform for 50M+ users.
Software Engineer, Data Infrastructure & Acquisition at Speechify
Speechify is dedicated to ensuring that reading does not hinder learning. With over 50 million users, our text-to-speech solutions transform various reading materials - such as PDFs, books, Google Docs, news articles, and websites - into audio formats. This allows users to enhance their reading speed, comprehension, and retention. Our offerings include applications for iOS, Android, Mac, a Chrome extension, and a web application. Recently, Google recognized Speechify as the Chrome Extension of the Year.
Location: Sydney, Sydney Region
Engagement: Full-time
Team: Data Infrastructure & Acquisition
What you’ll do
- Design and implement scalable data acquisition systems to support our growing user base.
- Collaborate with cross-functional teams to enhance data infrastructure and optimize performance.
- Develop and maintain data pipelines to ensure efficient data processing and storage.
- Analyze data to identify trends and insights that will inform product development and strategy.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- A minimum of 3 years of experience in software engineering, particularly in data infrastructure.
- Proficiency in programming languages such as Python, Java, or Go.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Familiarity with database technologies, including SQL and NoSQL databases.
- Understanding of data pipeline frameworks and ETL processes.
Nice to have
- Experience with machine learning frameworks and data analysis tools.
- Knowledge of data visualization tools such as Tableau or Power BI.
- Familiarity with containerization technologies like Docker and Kubernetes.
Skills & tools
- Programming languages: Python, Java, Go
- Cloud platforms: AWS, Google Cloud, Azure
- Databases: SQL, NoSQL
- Data pipeline frameworks and ETL processes
- Data visualization tools: Tableau, Power BI
- Containerization: Docker, Kubernetes
Practical notes
Candidates must be eligible to work in Australia.
We offer competitive salaries and benefits, including health insurance and flexible working arrangements.