Python Engineer

Job Title

Skill: GCP; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, SVN); SQL; RDBMS; Java; API; AWS Must have Tech: CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot, Kafka, AI/ML (Sarima/Prophet), 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 4+ years of commercial software development experience. Proficient in developing and hosting solutions using Java and Python on cloud platforms, preferably GCP. 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. Develop secure, resilient cloud infrastructure on major cloud service providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, while implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms. 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. 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. Experience with Agile development, continuous integration, continuous delivery, DevOps, and observability, including working knowledge of tools used in the CI/CD pipeline such as Maven, Salt, Git, and Jenkins. Experience designing and developing APIs, services, and microservices-based architecture using frameworks such as Spring Boot or Vert.x. Hands-on experience with Kafka, relational databases, and/or NoSQL databases. Understanding of data structures, algorithms, design patterns, web technologies such as and Apache, and familiarity with Unix/Linux. Understanding of cloud security architecture, encryption, and OAuth. Proactively identifies continuous improvement opportunities beyond the obvious.