Lead Software Engineer – Full Stack AI

Detailed Job Description

Key Responsibilities • Design, develop, test, and maintain scalable full-stack applications using Python and Angular/React.js. • Develop RESTful APIs, microservices, and backend services using Python frameworks such as FastAPI, Django, or Flask. • Build responsive and user-friendly web interfaces using Angular, React.js, TypeScript, HTML, CSS, and modern UI frameworks. • Create and optimize database schemas, queries, and integrations with SQL and NoSQL databases. • Containerize applications using Docker and manage container lifecycle. • Deploy, manage, and troubleshoot applications running on Kubernetes clusters. • Develop Infrastructure as Code (IaC) using Terraform for provisioning and managing cloud resources. • Collaborate with DevOps teams to implement CI/CD pipelines and deployment automation. • Monitor application performance, troubleshoot production issues, and optimize system reliability. • Participate in architecture discussions, code reviews, and technical design sessions. • Ensure adherence to security, scalability, and coding best practices. Required Skills • Bachelor's degree in Computer Science, Engineering, or a related field. • 7+ years of experience in Full Stack Development. • Strong programming experience in Python. • Hands-on experience with Angular (Angular 10+ preferred) or React.js. • Proficiency in TypeScript, JavaScript, HTML5, and CSS3. • Experience developing REST APIs and microservices. • Strong knowledge of Docker and containerization concepts. • Hands-on experience with Kubernetes deployment, scaling, and troubleshooting. • Experience with Terraform and Infrastructure as Code practices. • Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. • Experience with relational databases (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB). • Familiarity with cloud platforms such as AWS, Azure, or GCP. • Strong understanding of Git version control and Agile development methodologies. • Experience working with Generative AI (GenAI) solutions and Large Language Models (LLMs) will be a added advantage