Software Engineer

Software Engineer - Conversational Ai Team

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.

The Conversational AI team are helping drive major changes in Self and Assisted Services to deliver better outcomes, better experiences and lower costs. We are looking for a talented Software Engineer to join the Conversational AI team, and help build products and services to bring the benefits of this technology to Genesys customers.

As an Engineer in the Conversational AI team, you will be designing and developing high quality software to deliver key features of the Product roadmaps. You will be working on tools and infrastructure challenges involving machine learning and software engineering to deliver AI powered conversational solutions.

You will be joining a collaborative team of like-minded people who thrive on technical problem solving and relish design challenges. Working in an Agile team environment, our teams are full-stack, with capabilities to deliver full features across Front-End, Back-End, Eventing and Storage layers. Genesys Software Engineers think through implementation details of scale, security and usability. We write code in Python, JavaScript and Java, and work with many technologies, including DynamoDB, SQS, Kafka, Jenkins, GIT etc, all on AWS.

Key Responsibilities:

Your primary responsibilities will include designing, developing and maintaining the runtime engine for bots. You'll work collaboratively across teams to ensure seamless integration between frontend experiences and backend services, while maintaining high standards for code quality and system reliability.

• Develop high quality, efficient, testable software to implement key product features.
• Support the team in bringing features all the way through the Design, Test, Deploy, Maintain cycle.
• Understand the overall architecture of the product and the wider ecosystem.
• Actively participate in team code reviews.
• Enhance overall team velocity.
• Apply processes appropriately for data security, traceability and information sharing.

Minimum Requirements:

• 2+ years of experience in Software Engineering.
• Degree in Computer Science, Software Engineering, Data Science or related disciplines.
• Experience with Java for backend development and service architecture.
• Knowledge of microservices architecture and distributed systems.
• Good understanding of object-oriented programming & design.
• Experience of developing REST API's using frameworks such as Spring Boot or Flask Rest X.
• Cloud Native application development, preferably AWS based.
• Experience of CI/CD processes and technologies.
• Proactive, self-driven, and possessing a growth mindset.
• Ability to prioritize tasks and work independently when provided with relevant information.

Desirable Skills:

• Experience with Bot Platforms or Natural Language Understanding concepts and technologies.
• Experience with performance tuning and cost optimization of AWS resources for runtime-intensive applications.

Our Benefits:

• Flexible work schedules and work-from-home options
• Development and career growth opportunities
• Excellent pension scheme
• Bonus scheme
• Health Insurance
• Income Protection & Life Assurance
• Family-friendly leave allowances, including paid maternity and paternity leave.

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