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 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.
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
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 va