Software Engineer II, Backend, tvScientific

We're looking for a Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance.

You’ll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.

Responsibilities:

• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
• Build and evolve contract management capabilities for our CPA Contract/Billing model
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
• Improve system observability, reliability, and performance as contract volume and complexity scale
• Own backend services and data models related to contracts and billing
• Lead technical design discussions and make pragmatic architectural decisions
• Write clean, well-tested, and maintainable code with a strong focus on correctness
• Drive improvements in data consistency, validation, and error handling across contract workflows
• Review code and mentor other engineers, setting a high bar for backend quality
• Collaborate cross-functionally to support new deal structures and evolving business models

Requirements:

• Experience with billing/contract mechanisms (specifically affiliate platforms)
• Bachelor’s degree in computer science, a related field or equivalent experience
• Experience building large-scale full-stack products
• Deep understanding of web development and best practices in React/Redux
• Strong experience with programming languages Javascript and Python/Java
• Strong software engineering principles and practices
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work