Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. About the role At Genesys, the Kafka team within our Analytics organization builds and operates the event-streaming infrastructure that enables reliable, scalable movement of data across our ecosystem. As a Senior Software Engineer, you’ll design, develop, and evolve distributed systems that process high volumes of events and provide critical capabilities to teams across Genesys. You’ll tackle complex challenges involving scalability, performance, resilience, and observability while helping shape the technical direction of our streaming platform. Working with software engineers and cross-functional partners, you’ll also contribute to engineering standards, share your expertise, and help the team build reliable systems that are easier to operate and evolve. What you’ll do Design, develop, test, deploy, and operate highly available event-streaming services and platform capabilities built around Apache Kafka. Lead technical design and implementation for complex distributed-system and streaming-platform initiatives. Improve the scalability, reliability, performance, security, and cost efficiency of Kafka infrastructure and supporting services. Develop automation and tooling that simplifies platform operations, deployment, monitoring, and troubleshooting. Diagnose complex production issues across distributed systems and implement sustainable solutions that improve platform resilience. Collaborate with analytics, platform, product, and engineering teams to understand requirements and develop effective technical solutions. Provide technical guidance through architecture discussions, code reviews, mentoring, documentation, and knowledge sharing. What you bring Significant professional software engineering experience developing and operating production software or platform services. Strong proficiency in Java, with working experience in Python, or vice versa. Experience designing and operating distributed, event-driven, or data-intensive systems. Hands-on experience administering and operating Apache Kafka in production environments, including responsibility for platform reliability, performance, scaling, and troubleshooting. Comparable event-streaming technology experience may also be considered. Experience developing and operating production systems in AWS, Azure, Google Cloud, or comparable cloud environments. Strong understanding of distributed-systems concepts, including availability, consistency, fault tolerance, and scalability. Experience with automated testing, CI/CD, observability, source control, and production operations. Ability to influence technical decisions and communicate complex concepts clearly across teams. Preferred qualifications Deep experience with Apache Kafka, including topics, partitions, consumer groups, replication, performance tuning, and failure recovery. Experience with Kafka Connect, Kafka Streams, Schema Registry, or related streaming technologies. Experience with Kubernetes, containers, and infrastructure-as-code technologies. Knowledge of monitoring and observability practices for large-scale distributed systems. Experience improving the performance, capacity, availability, or cost efficiency of high-throughput production platforms. Why join the Kafka team? You’ll work on foundational streaming infrastructure at the heart of the Genesys platform, solving engineering challenges where scale, resilience and performance genuinely matter. This is an opportunity to go deep on Kafka and distributed systems while having real influence over architecture, platform evolution and engineering practices. You’ll work alongside experienced engineers, build capabilities used across Genesys engineering, and have the scope to improve not just how the platform is built, but how effectively teams can operate and build on top of it. Our approach to hiring Great engineers develop their expertise through many different paths. You don’t need to meet every preferred qualification to be considered. If you have strong software engineering fundamentals, relevant distributed-systems experience, and an interest in building reliable streaming platforms at scale, we encourage you to apply. Our Benefits: At Genesys, we’re committed to supporting your well-being, growth, and work–life balance. Our comprehensive benefits package includes: Flexible work options – Choose what works for you with hybrid schedules, work-from-home flexibility, and the option to collaborate onsite in our state-of-the-art Galway office. Career development & growth – Access continuous learning opportunities, mentoring, and clear paths for advancement. Competitive pension scheme – Invest in your future with an excellent employer-supported pension plan. Annual bonus program – Be rewarded for your impact and contributions. Comprehensive health coverage – Including private health insurance, access to company dental plan, and wellness supports. Financial protection – Enjoy Income Protection and Life Assurance, along with access to dedicated financial planning resources to help you make confident, informed decisions about your future. Family-friendly policies – Generous paid maternity and paternity leave #LI-MC1 Working at Genesys AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys. Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.  Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps. Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available. Get notified about relevant opportunities. Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. 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.ai. 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 [email protected]. 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. Our AI-powered platform connects people, systems, data and AI to help businesses work smarter, respond faster and create more meaningful interactions. Stay connected to learn how we're applying AI to real customer experience challenges and hear about future opportunities. Sign up here. If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

Sr. Software Engineer - Kafka Platform.

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