Software Engineer, Data Infrastructure & Acquisition - Richmond, VA, USA

About the Role

The role entails collaborating with cross-functional teams, including engineering, research, and product, to craft the AI team's dataset roadmap. This requires a deep understanding of the company's products, market trends, and customer needs. You will operate and extend the cloud infrastructure for the ingestion pipeline, currently running on GCP and managed with Terraform.

What You Will Do

• Design, develop, and maintain large-scale data pipelines to support model training operations
• Operate and extend the cloud infrastructure for the ingestion pipeline using GCP and Terraform
• Collaborate with scientists to optimize data collection, processing, and storage
• Develop and maintain data quality metrics and monitoring systems
• Work with the AI team to craft the dataset roadmap and deliver richer data at bigger scale and lower cost
• Participate in the development of the company's data strategy and architecture
• Collaborate with the product team to integrate data insights into product development
• Develop and maintain technical documentation for data infrastructure and pipelines
• Troubleshoot data pipeline issues and optimize performance

What We Are Looking For

• BS/MS/PhD in Computer Science or a related field
• 5+ years of industry experience in software development, with a focus on data infrastructure and acquisition
• Proficiency in bash/Python scripting in Linux environments
• Experience with Docker and Infrastructure-as-Code concepts
• Professional experience with at least one major Cloud Provider (GCP, AWS, Azure)
• Strong understanding of data processing workflows and pipeline architecture
• Experience with web crawlers and large-scale data processing
• Ability to handle multiple tasks and adapt to changing priorities
• Strong communication skills, both written and verbal

Nice to Have

• Experience with data quality metrics and monitoring systems
• Knowledge of machine learning algorithms and data science principles
• Familiarity with agile development methodologies and version control systems (e.g., Git)
• Experience working in a distributed team environment

Benefits and Perks

• Competitive salary range (
  40,000-$200,000) + bonus + equity
• Opportunity to work on a life-changing product that supports people with learning differences
• Collaborative, entrepreneurial-minded team with a hands-off management approach
• Flexible, remote work environment with a commitment to building a great asynchronous culture
• Access to cutting-edge technologies and tools
• Professional development opportunities, including training and conference sponsorships
• Comprehensive health insurance and benefits package

• Tip: Showcase your expertise in cloud infrastructure, data processing, and collaboration by highlighting relevant projects and experiences in your portfolio and resume.
• Tip: Be prepared to discuss your approach to data pipeline architecture, scalability, and optimization during the interview process.
• Tip: Familiarize yourself with Speechify's products and mission to demonstrate your passion for the company's goals and values.
• Tip: Emphasize your ability to work independently and adapt to changing priorities in a fast-paced, distributed work environment.
• Tip: Ask about the company's approach to professional development, including training and conference sponsorships, to demonstrate your commitment to growth and learning.
• Tip: Research the market salary range for software engineers in data infrastructure and acquisition to negotiate a competitive offer.
• Tip: Pay attention to the company's culture and values, and be prepared to discuss how you can contribute to and thrive in a remote, entrepreneurial-minded team.