Role Description As a Backend Studio Lead (.NET), you will serve as the technical backbone and primary authority for our client's backend ecosystem. In this hands-on individual contributor role, you will shape technical strategy, architect highly available backend services, and elevate engineering standards across the board without the administrative weight of direct people management. This role is critical to anchoring architectural modernization, scaling system infrastructure, and fostering a culture of technical excellence across nearshore PODs. By bridging the gap between high-level client business objectives and scalable execution, your technical stewardship will directly drive product reliability, high-caliber talent acquisition through technical interviewing, and long-term platform growth. Key Responsibilities - Lead the architectural direction, system design, and technical governance for enterprise-grade backend services. - Build and maintain high-performance, secure RESTful APIs and microservices utilizing C# and .NET 6+. - Optimize complex database schemas, SQL Server query performance, indexing strategies, and data access layers. - Evaluate prospective engineering talent by conducting rigorous technical interviews and code assessments to maintain high engineering standards. - Design resilient distributed systems on Google Cloud Platform (GCP) leveraging modern containerization and CI/CD pipelines. - Collaborate directly with US-based client stakeholders to translate complex business requirements into robust, modern technical solutions. Qualifications - 8+ years of professional backend software development experience, including 3+ years anchoring technical direction as a Lead Engineer, Staff Engineer, or Software Architect. - Expert mastery of C#, .NET Core / .NET 6+, ASP.NET Web API, SQL Server, GCP, Docker, and Git. - High ownership mindset, natural ability to mentor and influence without authority, and strong client-facing presence. - Advanced English (written and verbal) with exceptional communication skills for direct US stakeholder interaction. Nice to Have - Proven experience modernizing legacy .NET Framework applications into modern cloud-native architectures. - Hands-on exposure to Kubernetes orchestration and messaging systems (e.g., RabbitMQ, Kafka) for event-driven architectures. - Familiarity with automated testing frameworks and quality engineering practices in high-growth environments. - Experience working within agile nearshore PODs or high-growth startup environments. Benefits - 100% Remote work environment. - Holidays off (US calendar). - Paid Time Off. - Health insurance assistance program. - Competitive USD compensation. - Growth opportunities with high autonomy, direct impact, and modern tech stacks.

• Write clean, efficient, and maintainable Rust code. • Build and maintain APIs and microservices. • Integrate new services with existing systems and platforms. • Optimize performance across distributed architectures. • Collaborate with product managers, architects, and cross-functional engineering teams to translate business requirements into robust technical solutions. • Participate in code reviews and help refine engineering standards and best practices. • Contribute to architectural discussions and technical decision-making. • Troubleshoot and resolve production issues. • Improve observability, monitoring, and internal engineering tools. • Stay current with developments, best practices, and advancements in the Rust ecosystem.

• Work on government health-related projects • Develop assigned components, including network clinics portal • Ensure secure access for authorized personnel • Improve process performance and database efficiency • Assist in incident resolution, bug fixes and data patches • Attend to required enhancements and software quality

• Build the core backend services: Design, implement, test, and operate first services for context ingestion and storage • Create a scalable SaaS foundation: Define and build architecture for a multi-tenant service • Power agent-facing retrieval workflows: Build APIs and service interfaces for AI agents • Work across product and infrastructure: Make tradeoffs between fast experimentation and long-term reliability • Operate what you build: Instrument services with metrics and improve reliability • Contribute to technical direction: Shape architecture and engineering practices for a new product area • Effective communication: Work in a highly dynamic and collaborative environment • Ownership and impact: Take full ownership of AI solutions ensuring they are scalable and aligned with real user workflows.