Sr Agentic Full Stack Engineer (1639, 8825)

ob Description

Design and build agentic AI systems integrated with enterprise Java microservices (Spring Boot-based architectures). • Develop and deploy AI agents using frameworks such as LangChain LangGraph Bedrock Agents AutoGen or CrewAI. • Implement RAG pipelines prompt engineering techniques and evaluation frameworks. • Build secure scalable APIs and backend services using Spring Boot and opinionated Internal Developer Platforms (IDP). • Implement OAuth 2.0 JWT-based authentication and secure service-to-service identity. • Architect Kubernetes-native applications following 12-Factor principles. • Enable observability using OpenTelemetry (OTEL) logging tracing and metrics. • Design centralized configuration and secrets management using HashiCorp Vault or AWS Secrets Manager. • Implement GitOps-based deployment strategies using tools such as ArgoCD. • Build resilient systems using patterns like retries circuit breakers (Resilience4j). • Implement API security and authorization using RBAC and ABAC models. • Work with service mesh technologies such as Istio for traffic management and security. • Integrate cloud IAM (AWS IAM) and Kubernetes workload identity (IRSA). • Develop event-driven systems using Apache Kafka and schema registry patterns. • Collaborate with product teams architects and platform engineers to deliver scalable AI solutions. Must-Have Skills: • Strong Java and Spring Boot microservices development experience. • Experience in ReactJS • Experience in building cloud-native applications on Kubernetes. • Hands-on experience with OAuth2 JWT secure API development. • Deep knowledge of distributed systems fault tolerance and resilience patterns. • Strong experience with observability tools (OTEL Prometheus Grafana). • Strong experience with Kafka-based event-driven architecture. • Hands on with GitOps CI/CD pipelines and container platforms. • Proficiency in GraphQL API design and development including schema design query optimization and integration with microservices. • Understanding RAG pipelines embeddings and vector databases. • Experience with agentic AI frameworks and LLM-based systems. Good-to-Have Skills: • Exposure to Internal Developer Platforms (IDP) and platform engineering. • Experience with service mesh (Istio) and advanced networking. • Knowledge of multi-cloud deployment (AWS/Azure/GCP). • Exposure agentic UX patterns and conversational APIs. • Familiarity with AI orchestration tools (Azure AI Foundry Vertex AI Bedrock). • Exposure to agentic productivity tools (e.g. Cursor Claude-based tooling Augment Code) is an advantage. Certifications (Preferred): AWS Developer / Solutions Architect Kubernetes Certification (CKA/CKAD) AWS or Azure AI Certifications