Software Engineer

Thumbtack is seeking Software Engineers to develop software for their applications and large-scale distributed systems. The role involves building new product features, architecting infrastructure, writing high-quality code, conducting statistical analysis, and processing large-scale production data. The Software Engineers will collaborate with various teams to execute software development projects and provide a consistent, quality experience for users.

Develop software for Thumbtack’s applications and large-scale distributed systems, using a variety of programming languages and cloud computing technologies.

Build new product features and architect infrastructure to support a fast-growing user base.

Write high-quality, maintainable, and scalable code in large-scale distributed systems environments.

Write unit tests and integration tests, debug software, build alerting and monitoring systems, and maintain operations for Thumbtack’s website.

Conduct statistical analysis and evaluate the performance of new product features using A/B testing.

Process large-scale production data using Big Data ecosystem (Google Cloud, BigQuery, Spark, etc) to support marketing and sales.

Build machine learning infrastructure across areas like feature engineering, model experimentation, model inference, and model monitoring.

Define and implement standards that help the company create a consistent, quality experience for its users across all software platforms.

Collaborate with engineering, product, marketing, sales, and design groups to execute a diverse range of software development projects and gather valuable user insights for both internal and external clients.

• Master's degree in Computer Science, Software Engineering, or a related technical field
• Programming languages including Java, Python, and C++
• Object-oriented design
• Data structures and algorithms
• Networks and computer systems
• Relational and NoSQL Databases including database schema design and writing SQL queries
• Big data technologies including Hive, Hbase, Spark, Bigquery, and Hadoop
• Web development on server side using cloud computing technologies and frameworks
• Writing models and optimizing training process for machine learning and deep learning
• Statistical data analysis and high volume data processing and exploration

• Virtual-first working model coupled with in-person events
• 20+ company-wide holidays including two week-long shutdowns
• Libraries (collaborative workspaces) in San Francisco, Salt Lake City, Toronto, and Manila
• Stipends for remote work support, home office set-up and Thumbtack services (North America)
• WiFi reimbursements
• Cell phone reimbursements (North America)
• Employee Assistance Program for mental health and well-being