Job Description :
Infosys is looking for hands on Full Stack Engineers with a strong ownership mindset who thrive in fast-moving, high-impact environments.
You will drive features end-to-end across Angular/React frontends and Java/Node.js backends while leveraging AI-driven development tooling to accelerate delivery and raise engineering quality.
You will also build and integrate multi-agent AI workflows as part of emerging AI/automation practice.
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 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.
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.
Agent SDK Preference Order :
- 1. LangGraph (by LangChain)
- 2. CrewAI (by CrewAI)
- 3. Claude Agent SDK (by Anthropic)
EdgeVerve Systems