Humana Inc. is a leading U.S. healthcare company, and they are seeking a Senior Cloud Solutions Engineer to support their cloud implementation and modernization strategy for Contact Center as a Service platforms. This role involves technical leadership in developing cloud-based contact center solutions, collaborating with various stakeholders to ensure the effective realization of CCaaS investments.
Responsibilities:
- Serve as the technical lead for Contact Center solutions, with hands-on ownership of Google CX Agent Studio, Google Cloud Platform (GCP), and integrated CCaaS technologies (e.g., Genesys Cloud)
- Design, implement, and optimize cloud-based contact center and conversational AI solutions leveraging GCP services, including integrations with Google CX Agent Studio, speech technologies, analytics, and AI/ML capabilities
- Provide technical leadership and mentorship to developers and engineers, ensuring adherence to enterprise architecture standards, security, reliability, and scalability best practices
- Partner with business analysts, solution architects, and product owners to translate business requirements into end-to-end technical designs and implementations across cloud and SaaS platforms
- Lead development and configuration efforts for omnichannel capabilities, including voice, chat, routing, authentication, analytics, and automation, across Google-based and vendor platforms
- Drive platform modernization initiatives and migrations (e.g., Nuance migration) with a focus on cloud-native and GCP-optimized architectures
- Evaluate, design, and execute Proofs of Concept (POCs), pilots, and solution validations on Google CX Agent Studio, GCP, and related SaaS platforms
- Identify optimization opportunities across performance, latency, cost, and operability; provide actionable recommendations and drive implementation
- Collaborate closely with platform vendors (Google, Genesys, and others) to resolve complex technical issues, influence product roadmaps, and ensure successful adoption of new capabilities
- Participate in Agile ceremonies (sprint planning, demos, retrospectives) while ensuring high-quality engineering execution and delivery outcomes
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field
- 10+ years of technical experience delivering complex, large‑scale cloud, SaaS, or platform‑based solutions
- Strong analytical, organizational, and problem‑solving skills
- Passion for contributing to an organization focused on continuously improving consumer and member experiences
- Technical leadership experience delivering large‑scale cloud and SaaS platforms, with a strong focus on Customer Experience / Contact Center technologies (e.g., Genesys Cloud, NICE inContact, Five9, Salesforce)
- Proven experience leading or contributing to major enterprise modernization and transformation programs, including cloud migrations and platform exits
- Hands‑on experience delivering omnichannel customer engagement capabilities, including voice, chat, routing, authentication, analytics, workforce management, AI/ML, automation, and conversational interfaces
- Experience integrating contact center platforms with enterprise SaaS ecosystems (e.g., Salesforce, ServiceNow, Microsoft Dynamics)
- Demonstrated ability to design, execute, and lead Proofs of Concept (POCs), pilots, and technology evaluations on cloud and SaaS platforms
- Strong architecture experience across Business, Application, Data, and Technology domains
- Excellent communication and influencing skills, with the ability to translate complex technical concepts into business‑relevant outcomes
- Proven ability to mentor teams, drive adoption of new technologies, and enforce engineering best practices
- Experience working in Agile delivery models (e.g., SAFe), with familiarity in Waterfall methodologies
- Experience collaborating closely with vendors to influence product capabilities and roadmaps
- Healthcare industry experience preferred
- Hands‑on experience with Google Cloud Platform (GCP) services supporting customer experience and conversational AI solutions
- Experience designing and implementing solutions using Google CX Agent Studio and/or Dialogflow CX, including intent modeling, conversation design, orchestration, and integrations
- Familiarity with Vertex AI for ML model integration, tuning, and inference in customer experience use cases
- Experience leveraging BigQuery for analytics, reporting, and insights related to contact center and customer interactions
- Experience deploying and operating services using Cloud Run, Compute Engine, or Kubernetes‑based architectures
- Strong understanding of GCP IAM, security, networking, monitoring, and cost optimization best practices
- Experience integrating GCP services with CCaaS platforms (e.g., Genesys Cloud) and enterprise systems
- Exposure to GCP‑based speech, text, and AI services (e.g., speech recognition, NLP, analytics) is a strong plus