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• Identify, develop, and close new business opportunities exclusively with clients in the United States • Focus on selling software engineering and nearshore development services to US-based companies • Build long-term strategic relationships and drive revenue growth in the North American market • Take ownership of the full sales cycle for US accounts, from prospecting and lead generation to negotiation and deal closure

• Contribute to the development and evolution of modern web applications, with a primary focus on backend engineering while maintaining the ability to contribute effectively across the full stack. • Work on scalable applications built with C#/.NET and React, collaborating with cross-functional teams to design, develop, and optimize features that deliver business value. • Tackle complex backend challenges and contribute to architectural discussions and technical improvements.

• Manage end-to-end development, from designing reliable software architecture to building scalable services. • Proactively resolve blockers and maintain high standards of code quality and performance in fast-paced environments.

• Contribute to the evolution of core backend platforms that support business-critical workflows. • Collaborate closely with Product, Design, Data, and Operations teams to deliver scalable and reliable solutions. • Help maintain and improve backend systems. • Optimize performance and participate in architectural discussions. • Break down complex initiatives into incremental deliverables. • Enjoy collaborating with teammates, contributing through code reviews and pair programming. • Gradually take ownership of larger technical initiatives.

• Lead the end-to-end product design process for an AI-powered consumer platform • Own everything from early discovery and information architecture to visual design systems and production-ready experiences • Collaborate closely with engineering and product stakeholders to shape key product decisions • Design intuitive interfaces that combine conversational AI experiences with structured, data-rich content • Balance usability with information density in designs

• Lead and support a team responsible for keeping client systems running smoothly. • Manage and investigate support tickets from clients, including errors, configuration requests, and operational issues. • Analyze logs, API behavior, monitoring alerts, and system data to identify the root cause of problems. • Coordinate with stakeholders and cross-functional teams to resolve issues efficiently. • Make or coordinate configuration changes within the system based on client needs. • Use tools like DataDog or similar platforms to monitor system health and performance. • Use API tools such as Postman, Insomnia, or curl to test requests, validate behavior, and troubleshoot issues.

• Lead a team of engineers and drive technical direction on complex projects. • Design, build, and monitor APIs using Java and Python. • Collaborate with stakeholders, navigate competing priorities, and manage team dynamics. • Utilize monitoring tools like DataDog to maintain system health and performance. • Script and automate solutions using Python. • Leverage AI developer tools (Claude, Gemini CLI, etc.) for enhanced productivity.

• Identify, develop, and close new business opportunities exclusively with clients in the United States • Focus on selling software engineering and nearshore development services to US-based companies • Build long-term strategic relationships and drive revenue growth in the North American market • Take ownership of the full sales cycle for US accounts, from prospecting and lead generation to negotiation and deal closure

• Implement AI tools in daily work to design, build, and operate reliable cloud infrastructure • Take ownership of cloud platforms, delivery pipelines, reliability practices, and operational standards • Help engineering teams deploy and operate software with confidence • Mentor engineers across the team to improve operational efficiency

• Work closely with engineering teams to design and optimize cloud environments • Implement monitoring and alerting systems • Contribute to incident response and system performance improvements