Lead Software Engineer – Full Stack

Bengaluru, India · Full-time

Opens the listing on relanto.keka.com

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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

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