Staff Software Engineer – Full Stack

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Develop and deploy customer-oriented features and enhancements across the entire technology stack.

• Take ownership of intricate technical projects from the initial design phase to production deployment and subsequent operations.

• Provide technical guidance on architecture, APIs, data models, infrastructure, reliability, and engineering methodologies.

• Write production-level code, engage in code reviews, troubleshoot issues, and make direct contributions to systems.

• Establish strategies for rapid iteration, AI evaluations, regression testing, monitoring, and assessing AI feature quality.

• Enhance code quality, developer experience, testing, observability, performance, reliability, and operational effectiveness.

• Mentor and guide engineers while offering constructive feedback.

• Design practical systems that accommodate future growth and complexity.

• Optimize AWS infrastructure, deployment workflows, CI/CD processes, observability, security protocols, and infrastructure-as-code practices.

• Engage in selected customer discussions to grasp requirements, investigate issues, gather insights, and convert needs into technical solutions.

• Collaborate with product, design, customer-facing teams, and various stakeholders.

• Decompose ambiguous problems into actionable plans and clearly communicate technical trade-offs.

• Ensure reliable, maintainable, measurable, and successful outcomes in production.

⛳️ Requirements

• 8–10+ years of professional experience in software engineering, including roles as a senior or technical lead engineer.

• Extensive full-stack engineering expertise, with proficiency in both frontend and backend development.

• Robust experience with React and contemporary frontend development methodologies.

• Strong background in developing backend services and APIs using Python.

• Significant experience in designing, deploying, and managing systems on AWS.

• Familiarity with cloud infrastructure, networking, containers, CI/CD, observability, and infrastructure-as-code.

• Practical experience in building AI/LLM systems in production or near-production settings.

• Knowledge of prompt engineering and prompt iteration, including crafting prompts for reliability, consistency, and structured outputs.

• Experience in creating or utilizing LLM evaluation frameworks, including test datasets, quality metrics, regression evaluations, human review, or automated judging methodologies.

• Strong grasp of distributed systems, APIs, databases, system architecture, performance, scalability, and reliability.

• Experience in making architectural decisions and assessing technical trade-offs.

• A proven history of delivering significant features and systems to production.

• Experience in mentoring engineers and guiding technical direction without relying on formal authority.

• Excellent debugging and problem-solving skills across application and infrastructure layers.

• Ability to function effectively in environments where requirements may be fluid or unclear.

• Exceptional written and verbal communication skills, including the ability to engage effectively with customers and bridge technical and business needs.

• Bonus: experience in working with Healthcare SaaS.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional development and career advancement.

• Collaborative and inclusive company culture.