Sr. Fullstack Engineer - Senior Consultant

Description

Sr. FullStack Engineer Job Description: We are seeking a highly skilled and experienced Senior Full\-Stack Engineer with a minimum of 5 years of hands\-on experience in both backend and frontend development. The ideal candidate will be proficient in the latest technologies and possess a deep understanding of software architecture, design patterns, and best practices. As a Full Stack Developer, you will play a key role in designing, developing, and maintaining our web applications, ensuring high performance, responsiveness, and seamless user experiences. Responsibilities: * Full\-Stack Development: Collaborate with cross\-functional teams to design and implement end\-to\-end solutions, bridging the gap between the frontend and backend aspects of our applications. * Backend Development: Develop robust and scalable server\-side applications, APIs, and databases using cutting\-edge technologies and frameworks. Ensure high performance, security, and reliability of backend systems. * Frontend Development: Create responsive, user\-friendly interfaces using modern frontend frameworks such as React, Next.js, Angular, or Vue.js. Implement and maintain visually appealing and intuitive user experiences. * Architecture and Design: Participate in architectural discussions and decisions, providing expertise in designing scalable and maintainable software solutions. Drive best practices in coding, testing, and documentation. * Code Review and Collaboration: Conduct and participate in code reviews to maintain code quality. Collaborate effectively with other team members, including designers and product managers. * Performance Optimization: Identify and address performance bottlenecks in both frontend and backend components. Implement optimizations to enhance application speed and efficiency. * Technology Stack: Stay abreast of the latest trends in web development and advocate for the adoption of new technologies and tools that can improve development processes and product quality. Requirements: * Education: Bachelor's degree in Computer Science, Engineering, or a related field. * Experience: Minimum of 5 years of professional experience in full\-stack development, with a strong emphasis on both frontend and backend technologies. * Backend Technologies: Proficiency in building backend services and APIs using Node.js/TypeScript (NestJS) and/or Python (FastAPI, Django/Flask). * System Design: Experience designing scalable, resilient services (service boundaries, data modeling, caching, messaging, observability, and performance considerations). * Software Design: Strong knowledge and hands\-on use of SOLID principles, common design patterns, and clean code practices. * DDD (Domain\-Driven Design): Experience applying DDD concepts (bounded contexts, aggregates, entities/value objects, domain events) to structure complex systems. * API Design: Strong understanding of REST API design (resource modeling, versioning, pagination, error handling, idempotency, and documentation). * Authentication \& Security: Experience with OAuth2/OpenID Connect, Identity Providers (IdP) concepts, and basic cryptography concepts (hashing, encryption, signing, key management) applied in software. * Cloud: Experience deploying applications on AWS (e.g., compute, networking, storage, IAM) and working with cloud\-native patterns. * CI/CD: Hands\-on experience building and maintaining CI/CD pipelines (build, test, security checks, deploy) and release processes. * Testing: Solid knowledge of unit testing (test design, mocking, coverage) and experience with automated testing practices. * Software Engineering Good Practices: Code reviews, refactoring, documentation, observability, and collaboration in an Agile environment. * Frontend Technologies: Expertise in modern frontend frameworks, such as React, Angular, Typescript, or Vue.js. Strong HTML, CSS, and JavaScript skills. * Database: Experience with relational and non\-relational databases (e.g., MySQL, PostgreSQL, MongoDB). Nice to have: * Deeper experience with Machine Learning, neural networks, prompt engineering, and LLM fine\-tuning/training and deployment. * AI Engineering Basics: Familiarity with LLM fundamentals, prompt engineering, embeddings/vector search, and integrating AI capabilities into applications. * Version Control: Proficient in Git for version control and collaborative development. * DevOps: Familiarity with cloud platforms (Azure, AWS, and GCP) and experience with containerization (Docker) and orchestration (Kubernetes) is a plus. * Communication Skills: Excellent communication and collaboration skills with the ability to convey complex technical concepts to both technical and non\-technical stakeholders.