I&P - GN - SONG - AI & Data - Service - Full Stack Engineering(Cloud) - Consultant

Overview

Design, build and deploy scalable full stack web applications and automated CI/CD delivery pipelines that power enterprise Contact Center AI platform implementations, within the S&C GN Customer Service Analytics & Contact Center AI practice.

What you'll do

• Design and build scalable full stack applications using React/Angular/Vue/Next.js, Node.js/Python/Java/FastAPI, REST/GraphQL APIs, and SQL/NoSQL databases supporting Contact Center AI platform workflows and operational dashboards.
• Design, implement, and manage CI/CD pipelines using GitHub Actions/GitLab CI/Jenkins with zero-downtime releases, automated rollback, canary/blue-green deployments, GitOps branching, and embedded SAST/DAST security controls.
• Configure and maintain CCaaS platform integrations across Genesys, Avaya, Amazon Connect, NICE, and Five9 for real-time streaming and batch data ingestion.
• Build and manage data ingestion pipelines covering transcription, enrichment, scoring, normalization, PII detection and redaction, and compliance-aligned data retention workflows.
• Deploy and manage containerized application components using Kubernetes across AWS/Azure/GCP and on-premises environments with full-stack observability including metrics, log aggregation, anomaly detection, and incident alerting.
• Lead client-facing infrastructure and data discovery workshops; advise on deployment model selection, CI/CD strategy, and connector architecture prior to onboarding.
• Identify and mitigate implementation risks; develop phased delivery roadmaps aligned to client go-live timelines.
• Mentor analysts and junior developers; review technical deliverables across frontend, backend, and DevOps workstreams.
• Present architecture and delivery decisions to senior client stakeholders; maintain documentation for knowledge transfer and team continuity.

What you'll need

• Full Stack Development (must have)
• CI/CD Pipeline Design (must have)
• Cloud Platforms (AWS/Azure/GCP) (must have)
• CCaaS Platform Integration (must have)
• Minimum 4 years of experience
• B.Tech/BE or M.Tech/ME or PhD in Computer Science, Information Technology, or a related field
• Full stack development using React/Angular/Vue/Next.js, JavaScript/TypeScript, Node.js/Python/Java/FastAPI, REST/GraphQL APIs, and SQL/NoSQL databases
• CI/CD pipeline design and DevSecOps using GitHub Actions/GitLab CI/Jenkins with zero-downtime releases, automated rollback, canary/blue-green deployments, GitOps branching, SAST/DAST and secrets scanning
• Kubernetes container orchestration across managed cloud and on-premises environments
• Kafka or equivalent event streaming platforms for real-time and batch data processing
• Cloud platform engineering on AWS/Azure/GCP covering compute, storage, networking, API gateways and security services
• CCaaS platform integration across Genesys/Avaya/Amazon Connect/NICE/Five9
• Security fundamentals including encryption at rest and in transit, zero-trust networking, OAuth2/JWT/SSO/MFA/RBAC, federated identity and audit logging
• Full-stack observability covering metrics, log aggregation, anomaly detection and incident alerting
• ETL/ELT, data ingestion pipelines, PII detection and redaction, data normalization across heterogeneous sources
• Compliance framework knowledge across GDPR, SOC 2 Type II and HIPAA
• E2E delivery of Contact Center AI platform implementations, cloud deployment architecture, data governance, phased go-live execution, stakeholder advisory and team mentoring

Nice to have

• Kafka, WebRTC, DataOps, ML/AI API Integration, Observability Tooling
• Kafka Streams or Apache Flink for advanced stream processing
• WebRTC or SIP-based media handling within CCaaS environments
• ML/AI API integration and familiarity with RAG, vector search and agent workflows
• DataOps and lakehouse/warehouse data product experience
• Terraform or Pulumi for infrastructure-as-code automation

Details

• Location: Bengaluru