Software Engineer - Analytics Platform

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.  The Genesys Cloud Analytics platform turns massive event streams into decisions that shape customer experience — for our customers and theirs. We process tens of millions of events every day across terabytes of data, building the pipelines, datasets, and services that power product teams, business insights, and end-user analytics.   In this role, you’ll work with engineers, product managers, and data scientists to build and operate big data products at scale. We’re looking for a strong engineer who turns ambiguous problems into reliable systems — someone comfortable in the unknown, creative in how they solve it, and pragmatic about what ships to production. Our team operationalizes analytics products, curates high-value datasets for the wider organization, and builds the tools and services that keep the platform growing in scope, reliability, and performance.   Summary : Build the platform. Design and ship highly available, fault-tolerant services that improve how analytics is ingested, processed, stored, queried, and delivered. Own the full data lifecycle. From streaming ingestion to structured and unstructured storage, search, and aggregation — you’ll engineer systems that scale with real-world usage. Operate at global scale. Deploy, automate, and maintain large AWS deployments with reliability, performance, and efficiency in mind. Turn ideas into products. Partner across teams to shape concepts into requirements, and requirements into tools and services others can depend on. Raise the bar around you. Review code, mentor peers, share best practices, and help other teams solve platform pain points before they become production issues. Fix what breaks — and prevent what’s next. Troubleshoot production incidents with urgency and judgment, using AI-assisted workflows to move faster from symptom to root cause without giving up ownership.   This may be the perfect job for you if : Think in systems, not tickets. You enjoy taking ambiguous problems and turning them into well-designed, scalable solutions. Build for the long run. Maintainability, observability, automation, and testing are part of how you engineer software. Care about impact. You want to build products that customers and internal teams rely on every day. Solve problems creatively. You use modern tools, including AI-assisted workflows, to accelerate development and troubleshooting while taking full ownership of the final solution. Enjoy collaborating. You partner effectively with engineers, product managers, and data teams to turn ideas into production-ready capabilities.   To be successful in this role, you'll bring: 4+ years of relevant industry experience building and operating scalable, production-grade software systems. Strong Java development experience , including hands-on experience with Spring and Spring Boot for building distributed, cloud-native applications and services. Good understanding of cloud , ideally with AWS , including deploying, operating, and troubleshooting cloud-based services. Experience with Google Cloud Platform or Microsoft Azure is also welcomed. Experience designing, building, and operating highly available, scalable distributed systems with a focus on reliability, performance, and automation. A collaborative mindset with the ability to work across engineering, product, and data teams to turn complex requirements into production-ready solutions. Exposure to