Fullstack Developer

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: Please apply only if you are located at bangalore or ready to relocate at bangalore.

Preferred candidate profile