• Serve as a technical leader and trusted authority on AI-assisted engineering, driving adoption of Copilot, code generation, and LLM-powered tooling across the engineering organization. • Architect and deliver AI-powered product features that improve healthcare outcomes—spanning intelligent automation, clinical decision support, and member-facing experiences. • Design and implement LLM workflows and prompt engineering patterns, ensuring reliable, safe, and scalable AI integrations in production environments. • Lead MLOps initiatives including model deployment pipelines, monitoring, versioning, and lifecycle management in collaboration with data science teams. • Build and maintain full-stack solutions using C# (.NET), React, and Python, with a strong focus on scalability, security, and maintainability. • Define and evangelize engineering best practices for AI integration, code quality, and system design across Staff and Senior engineers. • Collaborate with product, data, and clinical teams to identify high-impact opportunities for AI and machine learning in the healthcare domain. • Conduct design reviews, architecture discussions, and hands-on code reviews to raise the technical bar across the organization. • Mentor and grow senior engineers, fostering a culture of experimentation, ownership, and continuous learning. • Stay at the forefront of rapidly evolving AI/ML tooling, evaluating and recommending emerging technologies relevant to the client.

• Optimización de problemas en el rendimiento. • Migración de código PL1 a Java (versiones 6, 7 u 8). • Adaptación del código para operar contra PostgreSQL en lugar del entorno PL1. • Migración de datos desde DB2 hacia PostgreSQL.

• At Skio, we’re on a mission to help Shopify brands grow faster by making subscriptions simple, powerful, and delightful. • Build entire product features end-to-end and own their success • Handle product ambiguity and bring clarity, obsessing over user details to ship experiences that delight merchants and customers • Work heavily in TypeScript and React, building scalable systems that keep us fast today and resilient tomorrow • Use AI tools (like Claude Code, Cursor, and others) to supercharge your output, improve quality, and automate the boring parts of software development • Contribute to our engineering culture. This means raising the bar for technical quality, team collaboration, and speed of execution

• Participate in cultivating a helpful, team-oriented environment by mentoring and coaching junior developers. • Work with Project Management team to provide estimation of development efforts and activities breakdown. • Implement and improve code reviewing process to optimize the development workflow, i.e. help institute automated static code scanning within the development workflow. • Responsible for documenting detailed technical designs based on system designs provided by the systems engineer. • Take pride and ownership of designing, developing and unit testing micro-services using a combination of Java and GoLang within an AWS driven platform. • Verify accuracy and completeness of programs by preparing sample data and unit testing components. • Strive to ensure upkeep of technical knowledge and expertise in AWS technologies through self-learning and certifications. • Analyze and solve problems that are complex and may be routine in nature, requiring varied responses depending on the situation. • Interact with peers before updating supervisors, interaction will often be with management levels at the client and/or within Dream Payments. • Receive minimal instruction on daily work tasks and moderate level of instruction on new assignments. • Participate in design, JAD and RAD sessions with senior developers. • Responsible for deployment of code and environments as needed. • Responsible for the development and deployment build scripts. • Participate in production support activities for troubleshooting and investigating issues. • Look for opportunities to continuously improve development workflow and suggest optimization opportunities for improvement to the team. • Ensure assigned tasks are completed and delivered within the project timelines, working overtime as needed.