Experience required: 6-10 Yrs
Skills: Java, generative ai, AI ASSISTED TOOLS, Artificial Intelligence, Data Structures, Spring Boot, Copilot, Microservices, Algorithms, Chatgpt, Claude Code, AWS, Gemini

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

Role: Back End Developer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: B.C.A. in Any Specialization, B.Tech / B.E. in Any Specialization, B.Sc in Any Specialization
PG: MCA in Any Specialization, MS/M.Sc(Science) in Any Specialization, M.Tech in Any Specialization