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• 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

• Work on projects ranging from innovative startups to globally recognized brands • Build reliable backend systems and collaborate with international teams • Connect with experienced professionals who align with our clients’ technical needs, vision, and culture • Complete an initial interview and participate in a talent pool for future opportunities • Valid role-specific requirements when a matching client need arises

• Building AI-enabled systems • Integrating LLMs and RAG solutions • Working with cloud services, data pipelines, and model-driven features • Collaborating with international teams on technical requirements

• Provide reliable backend systems • Work with APIs, cloud services, microservices, integrations, testing frameworks • Collaborate with international teams

• Manage end-to-end development, from designing intuitive frontends to building reliable backend services. • Take ownership of the development lifecycle and proactively resolve blockers. • Maintain high standards of code quality and performance in fast-paced environments.

• Contribute to building and evolving a platform focused on automating the software development lifecycle using advanced Large Language Models (LLMs) • Extend existing codebases while balancing feature development with bug resolution • Take end-to-end responsibility for features and issues, ensuring they are properly tested, delivered, and deployed • Proactively identify and communicate blockers