Lead Software Engineer – Full Stack AI
Bengaluru, IndiaFull-timeSenior · 7+ years
About this role
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