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 Title: Senior Software Engineer Department & Team: CX and Core Services Location: Ireland The Genesys Cloud Platform API Team builds and maintains a suite of business-critical, high-throughput microservices at the core of Genesys Cloud. Our systems are foundational to the platform, with a strong focus on reliability, scalability, and performance to ensure seamless operation for both customers and the internal teams who build on top of it. As the platform continues to evolve, we are expanding the team’s scope to include AI infrastructure that supports emerging patterns such as MCP and A2A. Our mission is to enable product teams to focus on delivering customer value, while we provide the scalable building blocks they rely on. While this role includes exposure to modern distributed AI systems, the primary focus is designing and operating the infrastructure that enables teams to build AI-powered features. Familiarity with MCP and A2A is helpful, but most important is the ability to translate evolving concepts into clear requirements and robust systems. As a member of the team, you will: · Develop and deploy highly available, scalable, and fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud platform. · Work with a distributed team. · Be expected to operate independently but have ample, friendly support available. · Actively review code, mentor, and provide peer feedback. · Champion large projects and mentor junior members on the team. · Partner with other teams to transform concepts into requirements and requirements into services and tools. · Build, deploy, maintain, and automate large global deployments in AWS. · Troubleshoot production issues and come up with solutions as required. · Participate in an on-call rotation with the rest of the team. We take pager fatigue very seriously and tune alerts to be relevant and actionable. What you need to be successful in this role: · You will likely have at least a BS in Computer Science or related field. · You have a minimum of 4 years’ experience working with Java in industry. · You are self-driven and comfortable taking the initiative to work asynchronously with your team. · You can breakdown complex problems to find and implement the simplest solutions. · You are prepared to dig in deep to understand a wide area of necessary domain knowledge. Many problems will be new, never been seen before. Your first job is to understand. · You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns. · You should be comfortable developing software in Java or a similar modern, multi-paradigm language. · You have very strong communication and collaboration skills. · You have a solid understanding of concurrent or multi-threaded programming. · You have worked with and understand NoSQL/Key-Value data storage technologies. · Familiarity with MCP, agentic AI systems, and Agent-to-Agent protocols is a plus Technologies we embrace: · “Right tool for the right job” over “we always did it this way” · Jenkins and Ansible for immutable machine images and automation · AWS for cloud infrastructure · Infrastructure (and everything, really) as code · Distributed version control with Git and BitBucket · Automation for everything. CI/CD, testing, scaling, healing, orchestration, etc. · Kafka for stream processing · DynamoDB and Redis / Valkey for storage and query 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: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—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.

Job Summary: We are seeking a motivated and skilled Software Engineer in Automation with 3-5 years of experience to join our dynamic Quality Engineering team. The ideal candidate will have a strong background in software development and test automation, with hands-on experience in C#, Selenium, and codeless automation platforms like AccelQ. In this role, you will be instrumental in designing, developing, and maintaining our automated testing frameworks, with a significant focus on leveraging AI to enhance our testing strategies and efficiency. Key Responsibilities: - Design, develop, and maintain robust and scalable test automation frameworks using C#, Selenium, and other relevant tools. - Create, execute, and maintain automated test scripts for web applications, APIs, and end-to-end functional scenarios. - Utilize AccelQ's no-code/low-code capabilities to accelerate the creation and maintenance of automated tests. - Integrate automated testing into our CI/CD pipelines to enable continuous testing and faster feedback cycles. - Collaborate with development teams to understand project requirements and ensure comprehensive test coverage. - Champion the use of AI in testing by identifying opportunities to apply AI-powered tools and techniques for test case generation, self-healing scripts, and predictive analytics for quality. - Analyze test results, identify, log, and track defects, and provide detailed reports to stakeholders. - Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, to incorporate testing best practices. - Contribute to the continuous improvement of our quality engineering processes and methodologies. Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3-5 years of proven experience as a Software Development Engineer in Test (SDET) or Automation Engineer. - Strong programming skills in C#. - Hands-on experience with Selenium WebDriver for UI automation. - Demonstrated experience with codeless/low-code test automation platforms, preferably AccelQ. - Solid understanding of software testing principles, methodologies, and the full software development lifecycle (SDLC). - Experience with API testing and tools (e.g., Postman, REST-assured). - Familiarity with CI/CD tools (e.g., Jenkins, Azure DevOps). - Excellent analytical and problem-solving skills with a keen attention to detail. - Strong communication and collaboration skills. Preferred Qualifications: - Experience working in an Agile/Scrum development process. - Knowledge of AI/ML concepts and their application in software testing. - Experience with performance and/or security testing. - Familiarity with cloud platforms (e.g., AWS, Azure). - AccelQ certification is a plus.

• Design and implement backend services using ASP.NET Core, Entity Framework, SignalR, and Minimal APIs. • Develop Python services and AI components with FastAPI, Django, Flask, Pandas, NumPy, and Scikit-learn. • Build and maintain microservices packaged with Docker and orchestrated via event-driven patterns using Azure Service Bus or RabbitMQ. • Design and implement multi-agent AI systems using LangChain, AutoGen, and CrewAI frameworks. • Build RAG pipelines with vector databases such as Pinecone or Weaviate and optimize prompt engineering and LLM fine-tuning. • Implement agent orchestration and inter-agent communication protocols for autonomous task execution. • Design and deploy enterprise AI copilots using Microsoft Copilot Foundry and integrate with Azure OpenAI Service. • Implement serverless and workflow solutions with Azure Functions and Azure Logic Apps. • Build CI/CD pipelines and infrastructure as code using Azure DevOps, ARM/Bicep, or Terraform. • Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical solutions. • Mentor junior developers, document architecture decisions, and promote scalable, maintainable designs.

• Process Improvement: Audit and embed into core supplier processes to understand improvement opportunities to cost, lead-times, and quality • Quality Assurance: Conduct on-site audits to root cause supplier quality issues or performance challenges • Supplier Development: Assess and improve supplier capabilities, ensuring alignment with engineering and operational priorities. • Engineering Technical Support: Provide technical guidance to suppliers on part specifications, manufacturing processes and standards, and quality measures • Supplier Performance Monitoring: Track and analyze supplier performance metrics, including delivery, quality, and cost. Implement corrective actions and continuous improvement plans as necessary. • Risk Management: Identify and mitigate risks within the supply chain to ensure uninterrupted production and delivery of components • New Product Introduction (NPI): Support the introduction of new products by ensuring suppliers meet all quality and delivery requirements during the development phase