LB - Python FullStack Engineer - 182

We are seeking a highly skilled and motivated Senior Python Fullstack Engineer to join our dynamic engineering team. This role is pivotal in designing, developing, and maintaining scalable backend services and APIs that power our complex, data-driven applications. The ideal candidate will have deep expertise in Python and FastAPI, strong experience with PostgreSQL, and a solid understanding of cloud infrastructure, particularly AWS. You will collaborate closely with frontend developers working with TypeScript, Nest.js, and React to deliver seamless, high-performance user experiences. This position offers an exciting opportunity to influence architectural decisions, mentor junior engineers, and contribute to the continuous improvement of our development processes and technology stack.

• Design, develop, and maintain scalable, high-performance backend services and RESTful APIs using Python and FastAPI. Ensure code quality, reliability, and maintainability by following industry best practices and company standards.
• Architect and implement efficient database schemas, write optimized queries, and perform performance tuning for PostgreSQL to support complex and data-intensive applications.
• Deploy, monitor, and manage backend services on Amazon Web Services (AWS). Utilize cloud-native tools and best practices to ensure high availability, security, and scalability of backend systems.
• Work closely with frontend developers using TypeScript, Nest.js, and React to integrate APIs seamlessly, ensuring smooth and responsive user experiences.
• Conduct thorough code reviews, provide constructive feedback, and mentor junior developers to foster a culture of continuous learning and improvement within the team.
• Implement and enforce security best practices across backend components to protect sensitive data and ensure compliance with relevant industry standards and regulations.
• Troubleshoot, debug, and optimize backend systems to handle varying loads efficiently, improving overall system performance and scalability.
• Participate actively in architectural discussions and technology decision-making processes that align with business goals and technical strategy.
• Partner with product managers, designers, and other stakeholders to deliver high-quality features on schedule, balancing technical excellence with business needs.

• Python: Expert-level proficiency in Python programming, with a strong focus on writing clean, maintainable, and efficient code. Experience with asynchronous programming and modern Python frameworks.
• FastAPI: Deep experience designing and building RESTful APIs using FastAPI, leveraging its speed and simplicity to create scalable backend services.
• PostgreSQL: Strong skills in designing database schemas, writing complex SQL queries, and optimizing PostgreSQL databases for performance and scalability.
• Amazon Web Services (AWS): Proven experience deploying and managing backend services on AWS, including familiarity with cloud-native tools and best practices for security, monitoring, and scalability.
• TypeScript & JavaScript: Solid understanding of TypeScript and JavaScript to effectively collaborate with frontend teams and understand frontend-backend integration challenges.
• React: Experience working alongside frontend developers using React to ensure seamless API integration and optimal user experience.
• Nest.js: Familiarity with Nest.js framework to facilitate smooth collaboration with frontend teams and understand the architecture of frontend applications.
• Scalability: Demonstrated ability to design and implement systems that scale efficiently under increasing loads, ensuring high availability and performance.
• Security: Strong knowledge of backend security best practices, including data protection, authentication, authorization, and compliance with relevant standards.

• Docker: Experience containerizing applications using Docker to streamline development, testing, and deployment workflows.
• Terraform: Familiarity with Infrastructure as Code (IaC) using Terraform to automate cloud infrastructure provisioning and management.
• Kubernetes: Knowledge of Kubernetes for container orchestration, enabling scalable and resilient deployment of backend services.