Java+AI Developer Job at NTT DATA (Hyderabad)

Job Responsibility

Design and implement scalable backend APIs and microservices using Java 17+, Spring Boot, Spring Security, and REST/gRPC APIs
Implement robust authentication, authorization, and policy enforcement using Spring Security, OAuth2/OIDC, and JWT
Integrate with relational and NoSQL data stores (MS SQL, MongoDB) and experiment with and operationalize Vector DBs for AI/semantic search use cases
Build secure authentication/authorization flows using OAuth2/OIDC, JWT, RBAC/ABAC
Build or support frontends in React and Angular (component design, state management, secure API integration)
Design and implement event-driven systems leveraging Kafka for messaging and streaming workloads
Work with stream processing technologies such as Apache Flink to build real-time data processing and enrichment pipelines
Integrate LLM features using LangChain/LangGraph (RAG, tools/agents, function calling), Chainlit for prototyping UIs/demos
Build Agent AI workflows (planning, memory, retrieval) with Python microservices using FastAPI where appropriate
Implement Vector DB-backed retrieval and guardrails, prompt templates, evaluation, and observability for LLM features
Containerize applications using Docker and deploy them to Kubernetes-based environments, ideally including OpenShift (OCP)
Define and maintain CI/CD pipelines using GitHub Actions for build, test, security scanning, and deployments
Use Helm for managing Kubernetes application manifests and Terraform for provisioning cloud infrastructure (e.g., Azure resources)
Collaborate with cloud engineering teams to optimize performance, cost, and reliability in Azure and/or OCP environments
Perform application security reviews, threat modeling, and drive remediation activities across the SDLC
Implement and manage secure secret storage and rotation using Vault/Key Vault or similar secret-management solutions
Ensure adherence to enterprise security policies, regulatory requirements, and best practices for secure coding and deployment
Implement metrics and alerts with Prometheus/Grafana
APM via AppDynamics (or equivalent)
Define SLIs/SLOs, conduct performance/load testing, profiling, and tuning (GC, connection pools, thread pools, queries)
Drive incident response, root cause analysis, and reliability improvements
Work in a Scrum-based environment, contributing to sprint planning, backlog refinement, daily standups, and retrospectives
Use Jira (or similar tools) for work tracking, reporting, and continuous improvement across the SDLC
Provide technical leadership, mentorship, and code reviews to other engineers
Collaborate with cross-functional teams (security, ops, data, product, QA) to ensure end-to-end delivery quality

Requirements

Strong experience with Java (6+ years), Spring, and Spring Boot for building RESTful APIs and microservices
Hands-on expertise with Spring Security, OAuth2/OIDC, JWT, and role/attribute-based access control
Experience conducting security reviews, remediating vulnerabilities, and implementing secure coding practices
Familiarity with mTLS, certificate management, and secure communication patterns
Strong knowledge of relational databases, especially MS SQL (schema design, queries, performance tuning)
Experience with NoSQL databases such as MongoDB (document modeling, indexing, scaling)
Exposure to Vector Databases and vector search concepts (embeddings, similarity search) for AI use cases
Practical experience with Kafka (producers/consumers, topics, partitions) and familiarity with stream processing using Flink
Professional experience building frontend using React and/or Angular
Strong skills in TypeScript, modern JavaScript, and responsive UI development
Ability to design and implement clean, reusable UI components and integrate with backend REST/GraphQL/AI endpoints
Solid experience with Docker, Kubernetes, and ideally Red Hat OpenShift (OCP)
Hands-on experience with CI/CD using GitHub Actions (pipelines, workflows, environment promotions)
Experience managing deployments with Helm charts and using Terraform for IaC to provision and manage Azure or other cloud services
Working knowledge of Azure services relevant to app hosting, data, networking, identity, and observability
Proficiency in Python for building AI, data, or automation components
Hands-on experience with Generative AI and LLMs (prompt engineering, model integration, safety considerations)
Experience with one or more AI frameworks: LangChain, LangGraph, FastAPI, and orchestration of multi-step, agent-based workflows
Experience building AI applications or tools with Chainlit or similar conversational/UX frameworks
Strong understanding of observability practices
hands-on experience configuring Prometheus & Grafana for metrics and alerts
Experience with AppDynamics (or similar APM tools) for application performance monitoring and troubleshooting
Experience designing and executing performance testing strategies for APIs, databases, and UIs, including tooling and analysis
Strong working experience in Agile/Scrum teams with Jira or similar tools
Excellent communication skills and ability to work effectively with both technical and non-technical stakeholders
Proven experience mentoring junior engineers and influencing technical direction

NTT DATA - All Job Offers

Select Country

Java+AI Developer

Job Responsibility

Requirements

Looking for more opportunities?

Java+AI Developer

Lead Java AI Developer

Sr Java/Java EE Architect / Lead Java Developer (AI)

AI Java Developer

Senior Java Developer with AI Experience

Senior Java Developer With Ai Driven Development Tools -Vice President

Senior Fullstack Developer (Angular & Java) – AI-enabled Environment

Sr Programmer Analyst Core Java Developer with Spring SQL with AI driven development tools

Sr Programmer Analyst Core Java Developer with Spring, SQL with AI-driven development tools

Our AI answers in your language