Digital Innovator in Investment Technology

Lumida Wealth is a digitally native, independent investment advisor specialising in alternative investments. We're on a mission to redefine wealth management—bringing together investment excellence, innovative thinking, and the best of trust and estate planning in a seamless digital experience.

Recognized by industry media and trusted for our differentiated, non-consensus insights, Lumida is reshaping how modern investors build and preserve wealth.

• A curious, driven engineer with a passion for building at the intersection of AI and finance.
• Strong product sense – you think beyond code to how tools will be used by investment teams.
• A builder at heart – you love owning projects end to end, from architecture to deployment.
• Excited by large language models (LLMs) and their potential to revolutionize workflows.
• Comfortable collaborating with AI/ML teams, product managers, and investment professionals.
• Highly organized, efficient, and comfortable juggling priorities in a fast-paced environment.
• Strong communicator, able to work independently or in a remote/hybrid team setting.
• You take pride in writing clean, efficient, and well-documented code.
• A fast learner who thrives on continuous improvement and working in uncharted territory.

We're looking for a seasoned Full Stack Engineer to join our team. This role involves designing and developing scalable full stack applications using ReactJS for frontend and Python/Flask for backend.

Key Responsibilities:

• Design and develop scalable full stack applications using ReactJS for frontend and Python/Flask for backend.
• Architect, implement, and maintain RESTful APIs to support data workflows and investment research.
• Build internal dashboards, analytics tools, and performance reporting systems for portfolio optimization.
• Collaborate with AI/ML teams to integrate large language models (LLMs) and automate investment workflows.
• Develop robust systems for backtesting, portfolio management, and financial data processing.
• Deploy and maintain services on Google Cloud Platform, leveraging cloud-native capabilities.
• Own CI/CD pipelines, implement DevOps best practices, and manage secure, scalable infrastructure.
• Support real-time data processing and API integrations with third-party financial platforms.
• Work directly with product and investment teams to translate needs into technical solutions.

• Strong understanding of frontend (ReactJS) and backend (Python/Flask) development.
• Experience working on cloud infrastructure (GCP preferred), including deployment and monitoring.
• Familiarity with DevOps, CI/CD pipelines, and cloud-native architecture.
• Knowledge of LLMs, machine learning tools, or experience integrating AI into products.
• Experience building tools for financial analysis, systematic strategies, or portfolio management is a major plus.
• Proactive, resourceful problem-solver who takes ownership and works with minimal supervision.
• Strong interpersonal and communication skills—able to interface across functions and geographies.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 3–5 years of experience as a Full Stack Engineer, ideally in high-performance or data-intensive environments.
• Proficiency in ReactJS, Python/Flask, and building modern web applications.
• Hands-on experience with Google Cloud Platform (GCP), or similar (AWS, Azure).
• Familiarity with DevOps, containerization (e.g., Docker), and CI/CD best practices.
• Exposure to AI/ML integration, especially LLMs, is highly desirable.
• Experience working with quantitative finance, data pipelines, or backtesting platforms is a strong plus.
• Excellent written and verbal communication skills in English.