Junior Software Engineer

The Role of a Junior Software Engineer at Letly

As a Junior Software Engineer at Letly, you will be instrumental in developing AI-native infrastructure designed to address critical challenges within residential real estate. This early-stage engineering role offers significant ownership over technical decisions, directly influencing our ability to fundamentally transform the industry.

You will contribute to building a highly efficient, AI/ML-native, consumer-facing, and capital-efficient service company targeting a substantial market. Your software will push the boundaries of AI/ML models in real-world applications, directly impacting people's finances, careers, and property.

Key Responsibilities

• Build and optimise RESTful APIs, adhering to best practices and robust design patterns.
• Design, develop, test, and maintain scalable software solutions.
• Contribute to crucial system architecture decisions and strategic technical roadmap planning.
• Participate actively across QA processes, infrastructure management, and database administration.

Technical Requirements

Non-Negotiable Foundations:

• Strong proficiency in at least one programming language (e.g., TypeScript/Node.js, Python, Java, Go).
• Solid understanding of object-oriented programming (OOP) principles and common design patterns.
• Comprehensive knowledge of RESTful API design and practical implementation.
• Mastery of fundamental software engineering best practices.
• Familiarity with Git workflows and collaborative development methodologies.

Advantageous Experience:

• Hands-on experience with NestJS and TypeScript (our current technology stack).
• Proficiency with MongoDB (our primary database).
• Experience utilizing Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE).
• Knowledge of containerisation technologies (Docker) and orchestration platforms (Kubernetes).
• Experience with Angular or other contemporary frontend frameworks.
• Understanding of event-driven architectures and message broker systems.
• Familiarity with Large Language Model (LLM) integrations and broader AI/ML concepts.
• Experience with CI/CD pipelines and infrastructure as code (IaC).
• A Computer Science degree or a related technical/STEM qualification.

Essential Characteristics

• Hyper-focus on detail: Demonstrated ability to produce clean, maintainable, and thoroughly documented code.
• First principles reasoning: An ability to thoughtfully approach and solve complex technical challenges from the ground up.
• Communication clarity: Exceptional skill in articulating complex technical concepts effectively to diverse audiences.
• Ownership mentality: A self-driven individual who proactively takes initiative and independently advances projects.
• Collaborative: Understands the power of teamwork and actively contributes to a collective environment.
• Adaptability: Thrives and performs well in dynamic, fast-paced environments with evolving requirements.
• Learning velocity: Possesses the capacity to quickly master new paradigms, technologies, and changes.
• Quality-obsessed: Committed to delivering high-quality output across all aspects of work.

Key skills/competency

• Software Engineering
• RESTful API Design
• TypeScript/Node.js
• MongoDB
• Google Cloud Platform (GCP)
• Kubernetes
• Docker
• Object-Oriented Programming (OOP)
• AI/ML Concepts
• Scalable Software Design