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.

• 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 building and supporting data streaming solutions using Apache Kafka
• Nice to have experience with Apache Druid and/or Apache Flink

Technologies we use and practices we hold dear:

• Right tool for the right job over we-always-did-it-this-way.
• We pick the language and frameworks best suited for specific problems. This usually translates to Java for developing services and applications and Python for tooling.
• Ansible, CloudFormation, and Terraform for our infrastructure.
• Infrastructure (and everything, really) as code.
• Distributed microservices.
• Automation for everything. CI/CD, testing, scaling, healing, etc.
• Use AI tools thoughtfully in daily development and incident work — to accelerate, not to abdicate engineering responsibility.
• Own your own tests — quality is engineered in, not inspected in later.

Employee Referral

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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 reasonable.accommodations@genesys.com.

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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.