Lead Mac Developer - Latin America

We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. Our Mac app is at the center of it all: capturing rich data, delivering coaching, and powering insights.

• Lead macOS app development, architecture, performance, deployment, and long-term scalability.
• Own the quality bar: profiling, debugging, optimizing for speed and stability.
• Ensure compatibility across managed environments, including MDM and restricted setups.
• Collaborate closely with backend and data teams to integrate APIs and improve system reliability.
• Guide and mentor team members and other developers, helping elevate the overall engineering craft.
• Build for the edge cases, from sandboxing and permissions to enterprise deployments.
• Contribute to our CI/CD and testing practices, ensuring smooth builds and updates.

• Expert in Swift and macOS app development, with a deep grasp of Apple frameworks, security, and system design.
• Proven experience in profiling, debugging, and performance optimization across varied Mac environments.
• Comfortable working in managed device contexts (MDM), understanding sandboxing, permissions, and deployment constraints.
• Familiar with API integrations, backend collaboration, and maintaining reliable interfaces.
• A stickler for detail, you notice inconsistencies others miss and care deeply about polish.
• Experience with SwiftUI and Catalyst for cross-platform work is a strong plus.
• Knowledge of Django REST Framework or similar backend stacks.
• Understanding of CI/CD pipelines and automated macOS testing.
• Experience in security-focused or enterprise-managed environments.
• Familiarity with enterprise compliance and privacy standards.

Paid Time Off (PTO)

• Lead Windows app development with a focus on performance, maintainability, and cross-environment stability.
• Profile, debug, and optimize for speed, memory usage, and reliability.
• Build for managed and restricted enterprise environments using MDM tools and deployment best practices.
• Integrate with backend APIs, and optionally, implement or adjust backend endpoints when needed.
• Collaborate with other developers to ensure consistent experiences across platforms.
• Contribute to app architecture, testing, and release processes to ensure smooth updates and deployments.

• Proficient in C# with hands‑on experience in Windows app development (Avalonia UI, WPF, UWP, or WinUI).
• Skilled at profiling, debugging, and performance optimization.
• Experienced in enterprise‑managed or MDM‑deployed app environments.
• Comfortable working with APIs and understanding full‑stack communication.
• Detail‑oriented, you care about consistency, reliability, and smooth user experiences across setups.
• Experience with cross‑platform or Electron‐based apps.
• Understanding of Django or other backend frameworks and API design.
• Familiarity with security compliance and enterprise privacy standards.
• Experience with CI/CD pipelines and automated testing for Windows apps.

• Design, implement, and maintain a scalable data warehouse (Big Query, Snowflake, Redshift, or similar).
• Develop and optimize ETL pipelines to ingest data from APIs and internal systems.
• Model and manage datasets to support flexible analytics and product features.
• Collaborate with engineering team to improve data mining and analytics performance.
• Build and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights.
• Ensure data reliability, cost efficiency, and performance optimization across environments.
• Implement event‑based pipelines for real‑time analytics and reporting.
• Contribute to data governance, privacy, and security best practices.

• Experienced in data warehouse architecture and scalable analytics infrastructure.
• Strong with SQL, data modeling, and pipeline performance optimization.
• Hands‑on with ETL tools, data ingestion frameworks, and cloud‑based data operations.
• Capable of balancing technical depth with real‑world impact — you build systems people actually use.
• Comfortable navigating tradeoffs between cost, scalability, and complexity.
• Curious about how data translates into insights, decisions, and automation.
• Experience with Python for analytics and data wrangling.
• Familiarity with AI/ML‑driven analytics or predictive modeling.
• Exposure to real‑time or streaming data architectures.
• Understanding of data governance, compliance, and secure cloud operations.

We’ll work directly with founders and engineers across analytics, infrastructure, and product. This is a high‑impact technical role that sits at the intersection of scale, performance, and strategy. We’re open to part or full‑time. Ideal for builders who care about performance and precision at scale.