• Design, develop, and sustain high-performance, scalable backend services using **Go** microservices and modern cloud-native tooling. • Lead architectural modernization and modularization to improve scalability, observability, and developer velocity. • Define and own the entire lifecycle of your systems: API design, data modeling, deployment (CI/CD), live-traffic monitoring, integration and load testing, telemetry & data analysis, experiment design (A/B tests), and continuous iteration. • Influence and evolve our architecture: propose and lead initiatives to decompose monoliths, migrate legacy code, build shared frameworks and reusable service components; evaluate new backend technologies and lead their adoption. • Apply AI-driven tools and automation frameworks to speed up development, code analysis, testing, and reliability. • Leverage intelligent telemetry, analytics, and optimization pipelines to improve service performance and resilience. • Define observability standards, telemetry pipelines, and fault-tolerance strategies for production-grade distributed systems. • Partner closely with product, mobile, and data teams to deliver seamless, high-quality experiences across all platforms. • Drive technical discussions, mentor developers, and influence strategic direction across backend and infrastructure domains.

• Develop and maintain web applications using Angular (TypeScript), HTML, CSS, and modern JavaScript frameworks • Build backend services using .NET (C#), object-oriented principles, and REST/gRPC APIs • Design and work with SQL Server databases using T-SQL and ORM tools such as Entity Framework Core • Collaborate within a modern engineering environment that emphasizes clean architecture, scalability, and maintainability

• Help architect a robust platform for data analytics and visualization

• Design, build, and maintain customer-facing and internal products and APIs, following best practices around security, performance, reliability, and maintainability. • Contribute to technical and product decisions by providing thoughtful input, raising trade-offs, and helping execute on agreed-upon solutions. • Collaborate with engineers across functional areas (Android, Machine Learning, Data, DevOps, etc.) to support shared systems and identify opportunities for improvement. • Participate in on-call rotations and operational work, helping diagnose issues, improve system reliability, and reduce future incidents. • Continuously improve existing systems, by refactoring code, reducing technical debt, and improving developer productivity.