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

Job Summary: As a Full Stack & CI/CD Consultant within the S&C GN Customer Service Analytics & Contact Center AI practice, you will be responsible for designing, building, and deploying scalable web applications and automated delivery pipelines that power enterprise Contact Center AI platform implementations. Your typical day will involve developing frontend and backend application components, configuring CI/CD pipelines, integrating CCaaS platform connectors, and advising clients on deployment architecture, release strategy, and data pipeline design across all phases of delivery. Roles & Responsibilities: -  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. Must have skills: Full Stack Development, CI/CD Pipeline Design, Cloud Platforms (AWS/Azure/GCP), CCaaS Platform Integration Good to have skills: Kafka, WebRTC, DataOps, ML/AI API Integration, Observability Tooling Experience: Minimum 4 years of experience is required Educational Qualification: B.Tech/BE or M.Tech/ME or PhD in Computer Science, Information Technology, or a related field Professional & Technical Skills: Must To Have Skills: -  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 Good To Have Skills: -  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 Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. 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