kills | Job Details | Must have Tech | Good to have Tech |
Google Cloud Platform; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, SVN); SQL; RDBMS; Java; Kafka | 1. 4+ years of commercial software development experience. | Experience 4+ Years | Good knowledge with Understanding of model lifecycle,Good understanding of data structures, algorithms and design patterns |
2. Design and implement scalable CCaaS and IVA solutions leveraging leading cloud and enterprise conversational AI/customer service solutions, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech. | Skills:CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot,Kafka, AI/ML(Sarima/Prophet), Release Management(Maven/Git) |
3. Develop secure, resilient cloud infrastructure on major cloud service providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms. | |
4. Implement and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations. | |
5. Experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to cloud-based solutions. | |
6. Design, develop, and maintain data pipelines, models, and datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance. | |
7. Experience building and integrating AI/ML solutions such as XGBoost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems. | |
8. Understanding of the model lifecycle, including evaluations, hyperparameter tuning, ongoing monitoring, model governance, bias mitigation, and explainability. | |
9. Experience with Agile development, CI/CD, DevOps, and observability. | |
10. Hands-on experience with Kafka, relational databases, and/or NoSQL databases. | |
11. Understanding of data structures, algorithms, and design patterns. | |
12. Proactively identifies continuous improvement opportunities beyond the obvious. | |
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