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Lead Python Full Stack Engineer

CodersBrain

 

Bengaluru, Karnataka, India

Posted On: 30+ days ago
Experience: 7+ years
Availability: Onsite
Openings: 1
Category: Python Full Stack Engineer
Tenure: Full-time Only
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Description

Key Responsibilities

• Design, develop, test, and maintain scalable full-stack applications using Python and Angular.

• 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, 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).

• 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

Education

Bachelor's degree

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