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Salary
≈ $16k – $40k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior · 6+ years exp

First seen by Alion on Sep 10, 2026.

Overview
Company
Impact
Profile match
Discover AMISEQ's innovative IT solutions tailored to enhance your business performance. Specializing in AI, cloud services, and IT consulting, we help you stay ahead in the digital age.

Role Overview :

As a Python Full Stack Developer, you will serve as the primary technical driver for a high-performance engineering pod. This is a "Player-Coach" role - balancing deep technical execution (hands-on coding, system design, and architecture) with the mentorship of developers. You will oversee the full software development lifecycle, from UI component architecture to DevOps automation and cloud deployment, ensuring the delivery of scalable, robust web applications.

Key Responsibilities :

1. Full-Stack Architecture & Development :

- Frontend Excellence : Lead the development of responsive, high-performance user interfaces using React.js or Angular. Champion component reusability and enforce state management best practices (Redux, Context API, RxJS).

- Python Backend Mastery : Design, build, and maintain scalable server-side logic using frameworks such as FastAPI, Django, or Flask.

- Design Ownership : Create and maintain Low-Level Designs (LLD), including API contracts (Swagger/OpenAPI), database schemas, and frontend component hierarchies.

- PoC & Prototyping : Rapidly build Proof of Concepts to validate new features, UI/UX flows, or third-party integrations.

2. DevOps & Automation :

- CI/CD Integration : Drive the automation of builds and deployments using GitHub Actions, Jenkins, or GitLab CI.

- Containerization : Ensure all services are containerized using Docker and orchestrated via Kubernetes (AKS/EKS).

- Infrastructure as Code : Manage cloud-native environments using Terraform or CloudFormation.

3. AI & Specialized Automation :

- AI-Enabled Features : Implement Python-based integration for AI services (OpenAI SDKs, LangChain) into the application layer.

- Process Automation : Use Python for scripting and task automation to improve internal team velocity and system reliability.

4. Technical Leadership & Agile :

- Code Mentorship : Conduct deep-dive code reviews to ensure compliance with LLD and high-quality standards.

- Sprint Management : Lead Story Point estimation and Sprint Planning. Translate complex business requirements into clear technical tasks for the team.

Required Skills & Experience :

Technical Requirements :

- Experience : 6 - 12 years in Software Engineering; 2+ years leading technical teams.

- Primary Stack : Expert-level Python (FastAPI, Django, or Flask). Optional : Dotnet Core / Java.

- Frontend Frameworks : Strong proficiency in React.js or Angular (v12+).

- Database & API : Experience with PostgreSQL/NoSQL and designing RESTful or GraphQL APIs.

- Cloud & DevOps : Hands-on experience with AWS or Azure and Docker/K8s.

- Agile Mastery : Expert in Scrum/Kanban, Story Pointing, and Jira-based workflows.

- AI/Automation : Foundational knowledge of LLMs (RAG, Prompting) and experience with Python-based automation.

- System Design : Strong grasp of Design Patterns, Microservices architecture, and API-first design.

Added Benefits (Preferred) :

- Security : Familiarity with OAuth2, JWT, and OpenID Connect.

- Testing : Experience with Unit Testing (PyTest) and Frontend Testing (Jest/Cypress).

- AI Tooling : Basic experience with Vector Databases (Pinecone/Milvus) or prompt engineering.

Soft Skills :

- Mentorship : Ability to mentor junior developers and foster a culture of technical excellence.

- Communication : Strong communication skills to present technical roadmaps to stakeholders.

- Conflict Resolution : Skills to keep the engineering pod aligned during high-pressure delivery cycles.

- Problem-Solving : Strong programming foundations and design principles with minimal dependency on AI tools.

Skills

Full Stack, Python, AngularJS, React.js, Cloud, FastAPI, Django, Flask, Server Side Component, SQL, NoSQL

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