Senior Full Stack Engineer with AI

Key Responsibilities Backend Development Design and develop scalable microservices using Java and Spring Boot. Build and maintain RESTful APIs supporting web and mobile applications. Implement secure, reliable, and high-performance backend services. Develop data access layers using SQL and NoSQL databases. Integrate internal and external services through APIs and event-driven architectures. Frontend Development Build modern user interfaces using React with TypeScript. Develop reusable and scalable UI components using modern React patterns (Hooks, Functional Components). Implement state management using tools such as Redux, Zustand, or Context API. Integrate frontend applications with backend REST APIs. Ensure performance optimization, accessibility, and responsive design. Architecture & System Design Participate in architecture discussions and system design reviews. Design modular and scalable application architectures. Implement best practices for performance, reliability, and security. Cloud & DevOps Deploy and manage applications in cloud environments (AWS, Google Cloud Platform, or Azure). Implement CI/CD pipelines to support automated testing and deployments. Use containerization technologies such as Docker and Kubernetes. Implement monitoring, logging, and observability solutions. Collaboration & Leadership Work closely with product managers, designers, and QA engineers. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and contribute to engineering standards. Drive improvements in system architecture, performance, and developer productivity. Required Qualifications 8+ years of professional software development experience Strong expertise in Java and Spring Boot Experience designing and building RESTful APIs and microservices Strong frontend development experience using React with TypeScript Deep understanding of TypeScript, modern JavaScript (ES6+), HTML5, and CSS Need hands-on experience building and using AI Agents / Agentic AI systems for autonomous reasoning, tool execution, and task orchestration. Hands-on experience building with AI: you've shipped something using LLM APIs, agentic frameworks, or AI-assisted coding tools as a core part of the system, not as an add-on. Comfortable reasoning about prompt-driven execution, model behavior under load, and the failure modes that come with non-deterministic systems Fluent daily user of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) this role expects you to build faster because of AI, and to bring that instinct to designing infrastructure where AI agents are the primary actor Experience with SQL databases (PostgreSQL, MySQL, Oracle). Experience with NoSQL databases (MongoDB, Redis, DynamoDB). Experience building cloud-native applications Experience building automation scripts using playwright Strong understanding of software design patterns and system architecture Preferred Qualifications Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ). Experience with GraphQL APIs. Experience with testing frameworks (JUnit, Jest, React Testing Library, Playwright). Experience with observability tools (Datadog, Prometheus, Grafana). Familiarity with security frameworks and authentication (OAuth2, JWT). Experience working in Agile/Scrum environments. Key Technologies Backend: Java Spring Boot REST APIs Microservices SQL / NoSQL databases Frontend: React TypeScript Redux / Zustand/ Context API HTML5 / CSS3 Infrastructure: AWS / Google Cloud Platform / Azure Docker Kubernetes CI/CD pipelines