Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.
As System Architect at Fetcher, you’ll own the overarching architecture of our cloud-native platform. You’ll work closely with engineering, product, and data science teams to ensure our solutions are scalable, performant, and strategically aligned. While product teams are responsible for their own component-level designs, you’ll play a critical role in ensuring those designs adhere to and evolve with our architecture.
Responsibilities:
- Own the Architecture: Define and evolve the system-wide architecture to support scalability, performance, and long-term growth of our SaaS platform.
- Partner on Design: Collaborate with engineering and data teams — who own their own designs — to ensure alignment with architectural direction and cross-team standards.
- Guide Technical Decisions: Participate in design reviews and provide clear guidance on architecture best practices, patterns, and trade-offs.
- Architect for ML at Scale: Establish architectural frameworks that support machine learning workflows, from data pipelines to model deployment and serving.
- Enable Agile Teams: Embed into agile squads to support design planning and technical decision-making early in the development cycle.
- Mentor and Align: Serve as a trusted advisor and mentor to tech leads and senior engineers, helping connect their local decisions to the company-wide technical strategy.
- Drive Tooling and Platform Choices: Evaluate and recommend infrastructure, platforms, and tools that enable scalability, resilience, and efficient development.