Senior Full-Stack Developer

Are you passionate about building scalable products that contribute to innovation in healthcare and life sciences? We are looking for a Senior Full Stack Software Developer to join a long-term remote project focused on scientific computing, AI-powered workflows, and cloud-native engineering. You will become part of a distributed European team developing a modern platform that helps pharmaceutical companies and researchers accelerate medicine development and improve analytical and regulatory processes. The role combines complex Back-end challenges, modern Front-end development, and opportunities to work with AI-driven features and distributed systems. We at Sigma Software value engineering excellence, collaboration, and continuous learning. Joining our team means working with modern technologies, contributing to meaningful products, and having the freedom to influence technical decisions in a supportive professional environment. CUSTOMER Our Customer is a Europe-based company operating in the pharmaceutical and life sciences domain. The company is developing advanced digital solutions that support pharmaceutical organizations and researchers in managing and analyzing mathematical and computational models used in medicine development and research workflows. PROJECT The project focuses on building a cloud-native platform that combines scientific computing, data analysis, and AI-powered workflows. The solution enables users to upload, store, visualize, and analyze complex computational models while supporting technical and regulatory processes within the pharmaceutical industry. The platform leverages modern distributed architecture and provides engineers with opportunities to work on AI-powered features, event-driven systems, scalable APIs, and cloud-native services. Develop and maintain modern Full Stack web applications with a strong focus on Back-end architecture and scalability Design and implement AI-powered features and intelligent workflows Build and operate reliable, secure, and scalable cloud-native services Collaborate with product managers, UX designers, architects, and engineering teams Participate in architecture discussions and technical decision-making Develop and maintain RESTful APIs and service-to-service communication Implement microservices and event-driven architecture patterns Ensure application reliability, observability, security, and performance Contribute to CI/CD processes and engineering best practices Promote engineering excellence and AI adoption within development teams At least 5+ years of commercial experience in software development Strong proficiency in JavaScript and TypeScript Hands-on experience with React and Next.js in production environments Strong experience with NestJS and scalable API design Commercial experience with Go OR strong experience with Python ecosystem technologies Experience with FastAPI, SQLAlchemy, pandas, numpy, and related Python tooling Solid understanding of microservices architecture and event-driven systems Experience with PostgreSQL and ORM tools such as Prisma Practical experience with Docker and Kubernetes Experience with NATS.io or similar messaging technologies Experience integrating IAM/SSO solutions such as Keycloak Strong understanding of RESTful APIs and distributed systems Knowledge of application security best practices Experience working with CI/CD pipelines and Git Strong analytical and problem-solving skills Ability to work independently and collaborate effectively in cross-functional teams Upper-Intermediate or higher level of English WILL BE A PLUS Experience in pharmaceutical, biotech, healthcare, or scientific research domains Experience working with computational or mathematical modeling platforms Familiarity with AI/ML integrations in enterprise applications Experience with regulatory or compliance-driven systems Experience with scientific or analytical data visualization Familiarity with R for research or analytical purposes PERSONAL PROFILE Proactive and ownership-driven mindset Strong collaboration and communication skills Ability to work effectively in complex technical environments Interest in modern AI technologies and innovation Focus on engineering quality and continuous improvement