Full Stack Architect

1 day ago

India Prowessoft Inc Full time

Role Overview We are looking for a Full Stack Architect / Lead Engineer with strong hands-on coding and AI solution-building expertise. You will design, build, and scale modern cloud-native applications — leading a small engineering team while contributing directly to architecture, backend, frontend, and AI integrations. Key Responsibilities Lead architecture design, technology selection, and solution planning. Develop high-quality, scalable code across frontend, backend, and cloud infrastructure. Integrate AI/ML services and LLM models into real-world web and mobile applications. Mentor and guide developers; review code and ensure best engineering practices. Build APIs, microservices, and data pipelines with strong security and performance standards. Collaborate with product and design teams to deliver end-to-end solutions. Drive CI/CD, containerization, and deployment automation. Required Technical Skills Frontend Flutter 3+ (Mobile – iOS/Android) Next.js 14+/React 18+ (Web) TypeScript, TailwindCSS, REST API integration Backend Backend Java 17+, Spring Boot 3+ (REST, JPA, Security, Validation) PostgreSQL /mysql / Redis API design, data modeling, microservices architecture WebSocket / Message Queue integration (Kafka/RabbitMQ optional) Cloud / DevOps  AWS (ECS/Fargate, RDS, S3, CloudFront, Lambda, Bedrock) Docker / Docker Compose, CI/CD pipelines (GitHub Actions / Jenkins) Kubernetes / Terraform (optional but preferred) Monitoring: Grafana, Prometheus, CloudWatch AI / ML Integration  Experience integrating LLMs (OpenAI, Claude, Gemini, or Ollama) Familiar with prompt engineering, AI model orchestration, and vision APIs (AWS Rekognition / Google Vision). Build and deploy AI-powered features with secure APIs and scalable architecture. Security / Auth  OAuth2 / OIDC / Keycloak / JWT authentication MFA / SSO / Passkeys / Role-based access control (RBAC) Soft Skills & Leadership  Strong architectural thinking and system design skills.  Proven team-leading and mentorship experience (2–5 developers).  Hands-on approach — 70% coding, 30% architecture/leadership.  Excellent communication and documentation skills.  Ability to deliver under startup-style timelines and ambiguity. Preferred Tools IDEs: IntelliJ IDEA / VS Code / Android Studio AI Tools: GitHub Copilot, ChatGPT, Cursor, Tabnine Version Control: GitHub / GitLab Design & Collaboration: Figma, Notion, Slack, Jira

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