The Role
Lead and mentor full-stack engineers while architecting and delivering cloud-native applications. Develop Python backend services, microservices, secure APIs, and responsive React or Angular interfaces. Design database and third-party integrations, oversee CI/CD deployments, and support scalable, observable systems across cloud platforms. Drive technical decisions, code quality, sprint planning, cross-functional collaboration, and end-to-end delivery for enterprise and AI-enabled solutions.
Summary Generated by Built In
Job Title: Full Stack Lead (Python)
Experience: 5–10 Years
Location: Hyderabad (Onsite / Hybrid)
Company: AidenAI
About AidenAIAidenAI is a fast-growing AI and digital transformation company helping global enterprises modernize, automate, and scale using intelligent platforms and AI-driven solutions. Our engineering ecosystem includes AI-powered modernization (AiDAP), Human Experience (HX), Intelligent Testing (TX), and domain-specific AI Agents for insurance, BFSI, and healthcare.
We are expanding our Hyderabad engineering team with experienced technical leaders who can drive scalable architecture, deliver high-quality full-stack solutions, and mentor young engineers.
Role OverviewWe are looking for a highly skilled Full Stack Lead (Python) who can architect, design, and deliver complex, cloud-native applications using modern backend and frontend frameworks. The ideal candidate will have strong hands-on expertise in Python, React/Angular, microservices, cloud platforms, and CI/CD pipelines — along with the ability to lead a team of engineers.
As a Full Stack Lead, you will drive technical decisions, oversee end-to-end delivery, and collaborate closely with product, DevOps, cloud, and AI teams to build enterprise-grade digital and AI-enabled platforms.
Key ResponsibilitiesTechnical LeadershipLead and mentor a team of full-stack engineers (junior to mid-level).
Drive architecture, design, and technical decision-making for complex modules.
Conduct code reviews and enforce engineering best practices.
Backend (Python)Architect and develop scalable backend services using Django / FastAPI / Flask.
Design and build microservices and high-performance API ecosystems.
Implement API security, authentication, and authorization (OAuth/JWT).
FrontendLead development of responsive, modular UIs using React.js or Angular.
Ensure frontend code quality, performance optimization, and UI/UX alignment.
Database & IntegrationDesign data models and work with PostgreSQL, MySQL, MongoDB, or Redis.
Integrate third-party services, APIs, and internal AI/ML modules.
DevOps & CloudOversee deployments using CI/CD pipelines (GitHub Actions/Jenkins).
Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
Ensure application scalability, observability, and reliability.
Collaboration & DeliveryWork with cross-functional teams, including AI/ML, Cloud, DevOps, and Product.
Translate business requirements into technical solutions and engineering tasks.
Own end-to-end delivery, sprint planning, and development workflows.
Required Skills & ExperienceTechnical5–10 years of hands-on Python full-stack development experience.
Strong command over Python web frameworks — Django/FastAPI/Flask.
Frontend expertise with React.js or Angular.
Strong understanding of JavaScript/TypeScript, HTML, CSS, and UI frameworks.
Expertise in API development, microservices, and event-driven architecture.
Strong experience with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/Redis).
Proficiency with Docker, CI/CD pipelines, Git/GitHub.
Experience with AWS/Azure/GCP cloud environments.
LeadershipExperience leading small to medium engineering teams.
Strong architecture, design, and problem-solving skills.
Ability to guide technical discussions, resolve blockers, and ensure high-quality delivery.
Preferred AttributesExperience with Kubernetes or large-scale distributed systems.
Exposure to AI/ML models, vector databases, or AI integrations (preferred).
Strong understanding of system design, performance tuning, and scalability.
Excellent communication, stakeholder management, and documentation skills.
EducationBachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Why Join AidenAIBuild enterprise platforms integrated with cutting-edge AI and cloud technologies.
Lead high-impact modernization and automation initiatives.
Growth-focused environment with opportunities to architect and influence product direction.
Work alongside experienced engineers, AI specialists, and cloud experts.
Skills Required
- 5-10 years of hands-on Python full-stack development experience
- Strong command of Django, FastAPI, or Flask
- Frontend expertise with React.js or Angular
- Strong understanding of JavaScript or TypeScript, HTML, CSS, and UI frameworks
- Experience with API development, microservices, and event-driven architecture
- Strong experience with SQL databases such as PostgreSQL or MySQL and NoSQL databases such as MongoDB or Redis
- Proficiency with Docker, CI/CD pipelines, Git, and GitHub
- Experience with AWS, Azure, or GCP cloud environments
- Experience leading small to medium engineering teams
- Strong architecture, design, and problem-solving skills
- Ability to guide technical discussions, resolve blockers, and ensure high-quality delivery
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- Experience with Kubernetes or large-scale distributed systems
- Exposure to AI/ML models, vector databases, or AI integrations
- Strong understanding of system design, performance tuning, and scalability
- Excellent communication, stakeholder management, and documentation skills
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
AidenAI builds and operates enterprise AI solutions, including AI agents and its unified agentic platform for modernizing legacy technology, transforming business logic and data, validating outcomes, and accelerating migration. It supports organizations from AI strategy through integration and ongoing operations, while providing tools to build, deploy, govern, and measure enterprise agents. Its services are intended to move AI beyond experimentation and embed it into business operations.
