Full Stack Python Engineer - Healthcare

FasterOutcomes is dedicated to revolutionizing the legal journey by making it a people-first experience. As a Senior Full Stack Developer, you will design, build, and maintain scalable, high-performance web applications, collaborating with cross-functional teams to develop innovative legal tech solutions.

Responsibilities:

• Design, develop, and maintain end-to-end web applications with both front-end and back-end components
• Lead the architecture and development of scalable, AI-powered legal tech solutions
• Collaborate with cross-functional teams (AI/ML engineers, product managers, and UX/UI designers) to define, design, and ship new features
• Develop high-quality, clean, maintainable, and efficient code, following best practices in software development
• Optimize application performance, troubleshoot and resolve issues related to both the front-end and back-end systems
• Ensure that the software is secure, compliant with legal industry standards, and scalable to meet growing client demands
• Mentor and guide junior developers, fostering a culture of learning and innovation within the team
• Stay up-to-date with emerging technologies and industry trends, ensuring our tech stack evolves as necessary

Requirements:

• 8+ years of experience in full stack development, with expertise in both front-end and back-end technologies
• Must have experience with ElasticSearch and Temporal.io
• Proficiency in front-end technologies such as React, Angular, or Vue.js, with a strong understanding of JavaScript, HTML5, and CSS3
• Strong back-end development skills with experience in Node.js, Python, Ruby on Rails, or other relevant frameworks
• Experience with databases (SQL and NoSQL) such as PostgreSQL, MySQL, MongoDB
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing applications
• Experience with RESTful APIs and third-party integrations
• Knowledge of AI/ML tools and techniques is a strong plus, especially in relation to natural language processing (NLP) and legal data analysis
• Familiarity with DevOps processes and tools (CI/CD pipelines, Docker, Kubernetes) to automate deployments and ensure scalability
• Experience with Agile/Scrum methodologies and working in a collaborative team environment
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues
• Experience in the legal tech industry or a strong interest in legal AI solutions
• Prior experience with AI-driven applications and working alongside data science teams
• Strong understanding of security best practices for data privacy and protection, particularly in handling sensitive legal data