Lead Software Engineer – Full Stack AI

Location: Bengaluru, India

Department: Data Engineering & Analytics

Experience: 7+ Years

• 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.

• 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