locations
Budapest, Hungary
time type
Full time
posted on
Posted 6 Days Ago
job requisition id
JR106598
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.
Are you someone who likes to solve interesting and challenging problems, innovate, and work on the cutting edge of web technology? Or have a passion for turning challenges and opportunities into long-term competitive advantages? Does your curiosity and desire to learn drive you? If so, this job might be for you.
What this role is:
As a Software Engineer on the Workforce Engagement Management (WEM) Decision Science Team, you will be responsible for the design and development of algorithms, features and functionalities that support the mission critical, cutting-edge optimization and decision-making products. You will work in a fast-paced startup environment where continuous change, innovation, and experimentation are a given.
WEM innovates in domains like forecasting, scheduling, workforce resource and engagement management, performance analytics, machine learning, data science, and reporting. We are currently looking for Software Engineers who have strong mathematical background and analytical skills.
What you’ll bring to the table:
To be successful, you should be a talented and creative problem solver. The ideal candidate must be passionate about data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our team and organization achieve its goals. A successful candidate will undertake research and development towards crafting novel solutions for large scale optimization challenges arising from a multitude of real problems involving forecasting, resource allocations, resource planning, optimization, and decision analysis.

Some details about what you’ll do:

• Support the research, design and development of large scale, complex mathematical models and solutions using advanced analytical, quantitative, statistical or machine learning approaches.
• Participate in code review, learn coding standards, and provide peer feedback.
• Assist in development of features beginning-to-end: from design documents and reviews to acceptance testing and deployment.
• Develop and maintain AWS microservices written in Java and other JVM languages.
• Continuously improve systems deployed in production.
• Troubleshoot production issues and come up with solutions as required.
• Participates in sprint planning and retrospectives, contributing to team discussions and decisions.
• Contributes to the creation and maintenance of documentation.
• Demonstrate keen awareness of current technology trends and emerging standards

Requirements:

• Bachelor’s or Master’s degree in Computer Science or related fields.
• 2+ years of experience in Software Development role, ideally building scalable and highly available distributed systems or algorithms.
• Solid programming skills in Java, Python, or C++, with understanding of design patterns and their applications
• Good understanding of data structures and algorithms.
• A problem-solving mindset and an enthusiasm for learning new skills.
• Demonstrable understanding of scalability and availability in distributed systems
• Background in mathematical optimization ideally in computation and algorithm development is a plus.
• Knowledge and experience in machine learning, parallel computing, and solving challenging engineering or science problems is a plus.
• Experience with AWS or other cloud infrastructure is a plus.
• Experience working within an agile scrum framework
• Experience iterating within a CI/CD framework
• Fluent in English

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 equity 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

• Support the research, design and development of large scale, complex mathematical models and solutions using advanced analytical, quantitative, statistical or machine learning approaches.
• Participate in code review, learn coding standards, and provide peer feedback.
• Assist in development of features beginning-to-end: from design documents and reviews to acceptance testing and deployment.
• Develop and maintain AWS microservices written in Java and other JVM languages.
• Continuously improve systems deployed in production.
• Troubleshoot production issues and come up with solutions as required.
• Participates in sprint planning and retrospectives, contributing to team discussions and decisions.
• Contributes to the creation and maintenance of documentation.
• Demonstrate keen awareness of current technology trends and emerging standard