Sr Software Engineer, Applications

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.

This team is all about data—and in order to create value from the massive amount of data we collect, engineering leverages their dynamic Data Engineering, Data Science, and Business Intelligence teams to create insights that benefit the industry as a whole.

This role will be responsible for building out new products while updating and expanding our existing offerings.

Other ways you will contribute to the team are by:

• Leading projects spanning our entire tech stack while demonstrating and mentoring others on our best practices and high-quality standards.
• Demonstrating strong collaboration through pull requests, demos, and working relationships. Give and receive feedback positively, identify risks and blockers as they arise.
• Taking ownership over deliverables, quality, and support across your team's systems and components. Being accountable for driving projects from ideation through production.
• Demonstrating a deep understanding of your team's business domain. Use your knowledge to identify risks and blockers during planning discussions. Ensure feasibility and alignment between business goals and technical implementation.
• Bringing a positive attitude to work and embody Basis' core principles.
• 5 years or more of professional software experience.
• Experience planning and building production-level web applications using React and Ruby on Rails.
• Experience leveraging modern development practices, including AI-assisted and agentic workflows
• Strong grasp of data modeling, SQL, query optimization, tuning for read/write performance and scalability.
• Experience or willingness to learn Java.
• Experience with entire development cycle of projects
• Knowledge and fluency in the tools used to build and maintain software: Git, Unix/Linux environments, and automated testing tools.