Data Engineer - CCaaS

Skill: GCP; GCP; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, SVN); SQL; RDBMS; Java; API; AWS Must have Tech: "Experience 4+ Years Skills: CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot,Kafka, Release Management(Maven/Git)" Good to have Tech : Understanding of cloud security architecture, Encryption and OAuth,Good understanding of data structures, algorithms and design patterns

1. 8+ years of commercial software development experience.
2. Proficient in developing and hosting solutions using Java, Python in cloud platforms, preferably GCP.
3. 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, speech-to-text/text-to-speech.
4. Architect secure, resilient cloud infrastructure on major cloud services provider 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.
5. Architect, 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.
6. Have experience in leading 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.
7. Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline (using Maven, Salt, Git, Jenkins), DevOps and Observability.
8. Experience in designing & developing API,services, Micro services-based architecture using frameworks like Spring Boot or Vertx.
9. Hands on experience with Kafka, Relational,and/or NoSQL databases.
10. Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.
11. Understanding of data structures, algorithms, design patterns, web technologies ( Apache) and familiarity with Unix/Linux
12. Strong understanding of cloud security architecture, Encryption and OAuth.
13. Looks proactively beyond the obvious for continuous improvement opportunities.
14. Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
15. Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

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