Java Developer + AI

Role & responsibilities

KEY RESPONSIBILITIES

• Design, build, and deliver end-to-end features across React/Angular frontends and Java/Node.js microservices, integrated with REST APIs and Kafka-based event streams.
• Own prompt structuring, validation, and refinement for AI-generated code ensuring correctness, security compliance, and adherence to Citizens' engineering standards.
• Leverage AI coding agents (GitHub Copilot, Claude Code) by authoring customisations agents, skills, hooks, MCP servers, and plugins to accelerate development without sacrificing quality.
• Build multi-agent AI applications using Agent SDKs to orchestrate workflows where agents collaborate or hand off tasks to each other.
• Implement and champion test-driven development (TDD) across unit, integration, and contract testing layers using Jasmine/Jest/Karma.
• Contribute to and improve CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and cloud-native deployments on AWS/Azure using Docker and Kubernetes (AKS/EKS).
• Maintain observability standards structured logging (ELK/Datadog), alerting (Prometheus/Grafana/AppDynamics), and performance profiling.
• Collaborate with product, design, and architecture teams to translate business goals into scalable, compliant technical solutions.
• Manage parallel workstreams and evolving requirements, ensuring incremental and continuous value delivery through agile practices.

CORE SKILLS & QUALIFICATIONS

Frontend

• React / Angular (micro-frontend architecture with single-spa / Module Federation)
• TypeScript, HTML5, CSS
• Unit testing: Jasmine, Karma, Jest

Backend & Integration

• Java (Spring Boot / Spring Cloud) — primary backend services
• Node.js — lightweight APIs and integration services
• RESTful APIs & microservices architecture
• Kafka / IBM MQ for messaging and event streaming
• Python for scripting and automation

Cloud & DevOps

• AWS / Azure (hybrid cloud)
• Docker & Kubernetes (AKS/EKS) for containerisation
• CI/CD pipelines: Jenkins, Azure DevOps, GitHub Actions
• API Gateway: Apigee / Kong / Azure API Management

Data & Persistence

• Oracle, SQL Server, PostgreSQL — transactional systems
• NoSQL: MongoDB, Cassandra
• Analytics platforms: Snowflake / Hadoop / Databricks

Security & Quality

• OAuth2, OpenID Connect
• Identity platforms: Azure AD, Okta
• Code quality & security: Nexus IQ, Fortify, SonarQube
• TDD, code review, debugging best practices

Monitoring & Observability

• Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Datadog
• Monitoring: Prometheus, Grafana, AppDynamics, Dynatrace
• Version control: Git (GitHub / Bitbucket)

AI ENGINEERING REQUIREMENTS

• High proficiency using AI coding agents (GitHub Copilot, Claude Code) with a strong understanding of AI-driven and AI-managed coding workflows.
• Solid grounding in prompt engineering — structuring, iterating, and validating prompts for consistent, production-quality code generation.
• Hands-on experience designing and constructing AI coding agent customisations: agents, skills, hooks, MCP servers, and plugins.

NOTE:Apply only if your in bangalore or ready to relocate to bangalore.

If you have experience in coding with AI Assisted tools please mention the same in the resume.

Preferred candidate profile