Fullstack Engineer

Job Description

Design and development responsibilities include developing, testing, and deploying software components or modules using a microservices architecture, utilizing programming languages such as Python for backend API development and ReactJS for frontend development. The role involves designing and coding different services, creating class diagrams, and re-architecting the existing Python codebase to ensure it is scalable, reusable, and production-ready. Cloud deployment involves implementing and managing the deployment of microservices in AWS, leveraging services such as EC2, Lambda, ECS, S3, RDS, and others. The role also includes automating repetitive tasks and optimizing development processes using CI/CD pipelines and other tools. Security is a key focus, requiring the implementation of best practices throughout the software development and deployment lifecycle to ensure that all services are secure and compliant with industry standards. Additionally, maintaining comprehensive documentation for software components, processes, and deployments is expected. From a technical experience perspective, the candidate must demonstrate proficiency in programming languages such as Python and ReactJS. They should have strong experience with AWS services including EC2, S3, RDS, and Lambda. Experience with containerization technologies like Docker and orchestration tools such as ECS and EKS is essential. Familiarity with CI/CD tools such as Jenkins and GitHub Actions is required, along with a solid understanding of REST APIs and messaging systems. Experience with monitoring and logging tools, particularly AWS CloudWatch and the ELK stack, is also important. The must-have skills for this role include software service development using microservice architecture with ReactJS and Python (FastAPI framework), experience developing solutions within Systems Development Life Cycle (SDLC) processes, and a strong understanding of SOLID principles and best practices. The candidate should also have hands-on experience deploying services in AWS infrastructure, knowledge of Docker containerization, deep expertise in core Python, strong familiarity with REST API concepts, and unit testing experience. Preferred qualifications include knowledge of Kubernetes, experience with tools such as JIRA and Confluence, and familiarity with integrating GenAI LLM models via API development, along with SSO implementation. Candidates should have a minimum of 8 years of experience in software development, specifically using a microservice architecture, AWS cloud stack, and expertise in software engineering with ReactJS and Python FastAPI.