3 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Design and build scalable full stack applications and operational dashboards for Contact Center AI workflows.
- Design and manage CI/CD and DevSecOps pipelines with automated releases, rollback, deployment strategies, security testing, and secrets scanning.
- Configure and maintain integrations with Genesys, Avaya, Amazon Connect, NICE, and Five9 for real-time and batch data ingestion.
- Build data ingestion pipelines for transcription, enrichment, scoring, normalization, PII detection and redaction, and data retention.
- Deploy and manage containerized applications across Kubernetes, AWS, Azure, GCP, and on-premises environments.
- Implement full-stack observability using metrics, log aggregation, anomaly detection, and incident alerting.
- Lead client infrastructure and data discovery workshops and advise on deployment models, CI/CD strategy, and connector architecture.
- Identify implementation risks, create phased delivery roadmaps, and support client go-live timelines.
- Mentor analysts and junior developers, review technical deliverables, present architecture decisions, and maintain knowledge-transfer documentation.
Requirements
- At least 4 years of professional experience.
- Bachelor's, master's, or doctoral degree in Computer Science, Information Technology, or a related field.
- Full stack development experience with React, Angular, Vue, Next.js, JavaScript, TypeScript, Node.js, Python, Java, FastAPI, REST, GraphQL, and SQL or NoSQL databases.
- Experience designing CI/CD and DevSecOps pipelines with GitHub Actions, GitLab CI, or Jenkins.
- Experience with Kubernetes, cloud platform engineering across AWS, Azure, or GCP, and cloud or on-premises deployments.
- Experience with Kafka or equivalent event-streaming platforms for real-time and batch processing.
- Experience integrating Contact Center as a Service platforms, including Genesys, Avaya, Amazon Connect, NICE, or Five9.
- Knowledge of encryption, zero-trust networking, OAuth 2, JWT, SSO, MFA, RBAC, federated identity, and audit logging.
- Experience with observability, ETL or ELT, data ingestion, PII detection and redaction, and data normalization.
- Knowledge of GDPR, SOC 2 Type II, and HIPAA compliance frameworks.
- Experience delivering Contact Center AI platform implementations, advising stakeholders, managing cloud deployment architecture and data governance, and mentoring teams.
- Preferred experience with Kafka Streams, Apache Flink, WebRTC, SIP, ML/AI API integration, RAG, vector search, agent workflows, DataOps, lakehouse or warehouse data products, Terraform, or Pulumi.
Tech Stack
AngularApache FlinkApache KafkaAWSAzureFastAPIGitHub ActionsGitLab CI/CDGoogle Cloud PlatformGraphQLJavaJavaScriptJenkinsKubernetesNext.jsNode.jsPythonReactSQLTerraformTypeScriptVue.js
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.