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
Join the global Innovations team at Genesys to build and scale cutting-edge generative AI applications. This team is at the forefront of innovation, delivering custom applications, integrations, and AI-driven solutions for Genesys Cloud environments. We’re looking for an experienced full-stack developer with deep knowledge of AWS, Python, and generative AI technologies.
Key Responsibilities
Design and develop generative AI applications using Python and AWS Bedrock.
Automate business practices through AI-driven solutions.
Collaborate with DevOps engineers to architect and manage AWS-based infrastructure for cloud contact center solutions.
Maintain and optimize AWS operational configurations, including resource management, permissions, usage scripting, and alerting.
Implement deployment automation and CI/CD pipeline practices.
Ensure cloud security and apply best practices to minimize vulnerabilities.
Develop applications using NodeJS and ReactJS, targeting Lambda functions and containerized deployments.
Respond to and resolve cloud infrastructure support tickets.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
Must be able to work in the United States (now AND in the future) without needing visa sponsorship.
4+ years of full-stack software development experience using Python, NodeJS, and ReactJS.
2+ years of experience developing and deploying SaaS solutions on AWS.
Hands-on experience with container technologies such as Docker or Kubernetes.
Proven understanding of generative AI, including large language models (LLMs), Agentic AI, and diffusion models.
Experience with models such as OpenAI ChatGPT, Anthropic Claude, Google Gemini, and Hugging Face.
Skilled in deploying solutions across both Windows and Linux environments.
Proficient in building responsive web UIs with ReactJS; familiarity with AngularJS or jQuery is a plus.
Familiarity with Genesys APIs and cloud services.
Strong analytical and troubleshooting skills in software operations.
Experience with database administration and performance optimization.
Comfortable in Agile environments with strong collaboration and independent work skills.
Experience with automated testing, CI/CD, and modern DevOps practices.
Preferred Qualifications
Experience supporting enterprise-scale contact center environments.
Exposure to customer-facing software deployments in a services-led delivery model.
Interest in emerging AI models and rapid prototyping.
Compensation:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$108,300.00 - $201,100.00
Benefits:
Medical, Dental, and Vision Insurance.
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off in addition to 10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments
More details about our company benefits can be found at the following link: https://mygenesysbenefits.com
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys empowers more than 8,000 organizations in over 100 countries 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, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.
This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.
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.
