Genesys - Cloud Platform Engineer - AWS Solutions

Description :

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees.

Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed.

And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work.

Join the team and create the future of customer experience together.

Job Summary :

We are seeking a Cloud Platform Engineer to design, develop, and deliver our AI Services platform and framework, enabling enterprise-grade AI services and self-service capabilities across the organization.

This role is critical to establishing the foundational platform layer that powers AI applications and services at scale.

At Genesys, we are transforming the customer experience landscape with empathy, AI innovation, and global impact.

Joining Genesys means becoming part of a global team that is redefining how companies engage with their customers while ensuring that AI is built responsibly, securely, and for long-term enterprise success.

About The Team :

The Data & AI Platform team is a central group comprised of Data Engineering, Data Platform / Technologies, Data Analytics, Data Science, Data Product, AI, and Data Governance practices.

This team serves the enterprise, including sales, finance, marketing, customer success, product, and more.

It acts as a core conduit and partner to operational systems that run the business, such as Salesforce and Workday.

Key Responsibilities :

• Design and Develop Cloud Solutions : Architect and implement robust, scalable, and secure cloud-based applications and services on AWS.
• Containerization & Deployment : Create, manage, and optimize containerized workloads using Docker and Kubernetes to support CI / CD pipelines and production scalability.
• API & Event-Driven Development : Build and maintain asynchronous and synchronous APIs, event streams, and messaging integrations to enable distributed system communication.
• AI / ML Integration : Develop and integrate AI and ML capabilities using vector databases, Jupyter Notebooks, and SageMaker.
• Collaborate with data scientists to operationalize models.
• Data Management : Design and manage data storage solutions using relational databases (SQL), NoSQL systems, and object stores (such as AWS S3).
• Software Quality & Version Control : Apply software development best practices, including test-driven development (TDD), automated testing, and version control using GitHub.
• Monitoring & Observability : Implement and maintain event-driven observability solutions, including metrics, logging, and alerting systems for performance and reliability.
• Collaboration & Documentation : Work cross-functionally with engineering, data science, and DevOps teams.
• Maintain clear technical documentation and design specifications.

Required Qualifications :

Preferred Qualifications :

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys :

Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences.

With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise.

As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces.

To learn more, visit www.genesys.com.

Reasonable Accommodations :

You can expect a response within 24- 48 hours.

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Genesys is an equal opportunity employer committed to fairness in the workplace.

We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

(ref : hirist.tech)