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…