Software Engineer, Tools & Services

About Basis Technologies

At Basis Technologies, we empower agencies and brands with cutting-edge software that automates digital media operations. Our all-in-one platform supports seamless planning, reporting, and financial reconciliation across direct, programmatic, search, and social media. We’re not just building advanced technology; we’re also building a culture where passionate, motivated individuals come together to drive meaningful change. Our commitment to inclusivity and growth ensures our employees thrive both professionally and personally.

Job Summary

Technology is at the core of what we do. Basis Technologies’ innovative Engineering team designs and develops new features and integrations for Basis, our industry-leading, comprehensive software solution. Our platform processes over 300 billion events per day and uses AI and machine learning to automate and simplify the entire digital campaign process.

Key Responsibilities

• Delivering timely results based on team’s deadlines.
• Designing clear, maintainable and scalable testing projects.
• Maintaining transparency and clarity about project testing through documentation and communication with stakeholders.
• Performing meaningful code reviews.
• Researching new technologies and their potential benefit to our projects.
• Being responsible for design and execution of a complex automated testing solutions for our data ecosystem.
• Delivering optimized code and deal with interesting scalability challenges.
• Being the voice of quality in highly collaborative agile product teams.
• Making sure that each deployment to production is of highest quality.

Requirements

• Strong grasp of computer science fundamentals — algorithms, data structures, and distributed systems.
• Hands-on experience with Java for backend and service-layer development, including multithreading, parallel processing, and data-intensive workflows.
• Familiarity with Python.
• Understanding of big data ecosystems (Snowflake, Snowpark, Airflow, etc.) and data quality validation at scale.
• Demonstrated ownership and accountability — you take initiative, follow through, and care deeply about quality.