Principal Backend Engineer - Promo

Technical strategy and architecture

• Own backend technical direction for the assigned product domain, such as Promos, while aligning with shared platform, cloud, data, and service standards.
• Partner with Principal and Staff Engineers and teams that own shared capabilities such as identity, payments, compliance, messaging, and platform services, integrating those capabilities while maintaining clear ownership boundaries.
• Guide architecture evolution and modernization, balancing product delivery, technical debt, scalability, and platform investment through pragmatic decisions, clear tradeoffs, and measurable outcomes.
• Lead major restructuring work through planned iterative delivery: establish the target end state before execution, decompose the initiative into sequenced tickets, surface dependencies and risks, and provide credible delivery dates that are updated as evidence changes.

Promotional and backend capabilities

• Build scalable and reliable promotion lifecycle capabilities, including configuration, eligibility, activation, state transitions, rewards, expiration, auditability, idempotency, and recovery.
• Partner with Product, Mobile, Web, Back Office, Data, and Operations to define service boundaries, API and event contracts, experimentation, success measures, and operational controls.
• Design resilient services for high traffic and transaction volume, using appropriate data consistency, caching, asynchronous processing, rate controls, and graceful degradation strategies.

Execution, quality, and operations

• Remain hands on with the hardest problems, turning ambiguity into iterative delivery while delegating effectively and correcting work that is off course or not producing value.
• Model and raise a high bar for code review, using reviews to improve correctness, maintainability, shared understanding, and engineer growth, and advance standards for testing, API design, security, observability, performance, CI/CD, controlled rollout, data migration, and production readiness.
• Lead diagnosis across services, APIs, databases, caches, queues, and event streams using correlated logs, traces, and metrics, turning incidents into systemic improvements.

AI enabled engineering

• Drive responsible adoption of AI assisted development across discovery, implementation, testing, documentation, debugging, and review, measuring improvements to quality, speed, learning, and developer experience.
• Identify valuable product and operational uses for AI, assess feasibility and model risk, and establish guardrails for evaluation, confidential data, human accountability, and production safety.

Organizational impact and culture

• Act proactively as a trusted technical advisor to Product and Engineering teams, identifying risks and opportunities early and using customer, operational, and market insight to make clear recommendations and drive decisions to closure.
• Mentor Senior and Staff Engineers through architectural guidance, reviews, pairing, and reusable knowledge, and contribute technical perspective to senior hiring, capability planning, and career development.
• Resolve systemic risks, ownership gaps, and missing capabilities by bringing the right people together, and lead change with calm ownership, constructive conflict, clear commitments, and learning without blame.