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About the role
We are seeking a mature, proactive, and highly capable Senior Java Full Stack Engineer with 4 – 6+ years of mid/senior profile in Java, Full Stack, React, Cloud Services. The ideal candidate can handle multiple challenges independently, think smartly, and build scalable end-to-end applications while also owning architecture and deployment. Passionate about innovation, problem-solving and optimizing system performance.
Must Have Skills
- Java, Spring Boot, Hibernate, REST API, Gradle, Redis
- React JS, Node JS, Vue JS, or TypeScript
- Cloud Services (AWS, VM, Storage, Auth and Auth, Functions, and Deployments)
- Microservices, Serverless Architecture
- Databases: MySQL, PostgreSQL, MongoDB
- Docker, Container orchestration (Kubernetes)
- API Development & Integration
- Bitbucket or Git-based version control
- Agile/Kanban working model
Good to Have Skills
- Familiarity with AI-powered coding assistants such as GitHub Copilot, Cursor AI, or Lovable AI.
- Basic understanding of Generative AI concepts and prompt engineering.
- Python (Fast API, Django REST Framework, Flask), PY Spark, Pandas
- API Testing Tools (Postman)
- CI/CD Pipelines
- Advanced Cloud Networking & Security
- Automation Testing (Playwright, Selenium)
- Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI)
Preferred Personal Attributes
- Highly proactive and self-driven
- Smart problem solver with strong analytical ability
- Ability to work independently in ambiguous and complex scenarios
- Strong communication & stakeholder management skills
- Ownership mindset and willingness to handle multiple challenges at once
Key Responsibilities
Full Stack Development
- Build and maintain production-grade applications using Java, Microservices, Python, and React/Next.js.
- Develop reusable frontend components and optimized backend services/microservices.
- Ensure clean architecture, maintainability, and code quality.
- Own development across the lifecycle—design, build, testing, deployment.
- Build AI chatbots, automation agents, and intelligent Assistants.
- Apply prompt engineering, fine-tuning, and model evaluation best practices.
- Deploy, manage, and monitor cloud workloads on AWS/Azure/GCP.
- Design and implement serverless architectures, microservices, and event-driven flows.
- Use Docker, CI/CD, and best DevOps practices.
- Ensure scalability, security, cost optimization, and reliability.
Collaboration & Leadership
- Comfortably handle ambiguity, break down problems, and deliver with ownership.
- Lead technical initiatives and mentor junior team members.
- Work closely with cross-functional teams in Agile/Kanban environments.
Skills required
microservicestypescriptpostgresqlkubernetesrest apinext.jsmongodbpythondjangospringpandasdockerreactflaskmysqlredissparkazureci/cdagilejavavueawsgcpgit
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