Software Engineer II, Backend, tvScientific

What you'll do

• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) 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

What we're looking for

• 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 (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Nice-to-Haves

• Experience working closely with finance or accounting teams
• Background in building audit-friendly or compliance-sensitive systems