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Genesys

Software Engineer, Realtime Analytics

Reposted 5 Days Ago
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Ireland
Mid level
Ireland
Mid level
The role involves designing and developing scalable big data solutions, collaborating with teams, participating in code reviews, and maintaining services in AWS.
The summary above was generated by AI

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Location: We are open to this person working hybrid from our office in Galway or remote within Ireland.

The Genesys Cloud Analytics platform is the foundation on which decisions are made that directly impact our customers’ experience as well as their customers’ experiences. We are a data-driven company, handling tens of millions of events per day to answer questions for both our customers and the business. From new features that enable other development teams to measuring performance across our customer base to offering insights directly to end-users, we use our terabytes of data to move customer experience forward.

In this role, you’ll collaborate with software engineers and product managers to build and support a variety of analytical big data products. You’ll take part in designing, developing, and maintaining reliable and scalable services that process and deliver real-time data. The ideal candidate has a strong software engineering foundation, enjoys solving complex problems, and is eager to contribute to an evolving platform that supports large-scale analytics and insights.

As a member of the team, you will:

  • Design, develop, and deploy reliable software that improves the features, performance, and scalability of the Genesys Cloud Analytics platform.

  • Collaborate with cross-functional teams to translate concepts into well-defined technical solutions.

  • Participate in code reviews, contribute to technical discussions, and help drive improvements to development practices.

  • Contribute to automation, monitoring, and CI/CD pipelines to improve system reliability and developer efficiency.

  • Build and maintain services and tools in AWS using infrastructure-as-code and modern deployment practices.

  • Investigate and troubleshoot production issues, identifying root causes and implementing sustainable fixes.

You may be a great fit if:

  • You have strong programming skills in Java

  • You have experience with distributed systems or are comfortable learning technologies for real-time data processing.

  • You understand software engineering best practices including testing, monitoring, and CI/CD.

  • You’re motivated by solving complex problems and delivering scalable, maintainable solutions.

  • You’re curious about technologies such as Kafka, Flink, Druid, or other big data systems.

  • You’re proactive about learning and take ownership of your work while collaborating closely with teammates.

Technologies we use and practices we hold dear:

  • Right tool for the right job over “we’ve always done it this way.”

  • Java for developing services and applications, Python for tooling.

  • AWS for cloud infrastructure.

  • Infrastructure (and everything, really) as code.

  • Automation for everything: CI/CD, testing, scaling, healing, etc.

  • Apache Flink and Apache Kafka for stream processing.

  • Amazon DynamoDB, Postgres, Amazon S3, and Valkey for query and storage.

  • Apache Druid for timeseries metric aggregation / OLAP.

Our Benefits:

  • Flexible work schedules and work-from-home options

  • Development and career growth opportunities

  • Excellent pension scheme

  • Bonus scheme

  • Health Insurance

  • Income Protection & Life Assurance

  • Family-friendly leave allowances, including paid maternity and paternity leave.

#LI-MC1

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. 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.com.

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.

Top Skills

Amazon Dynamodb
Amazon S3
Apache Druid
Apache Flink
Apache Kafka
AWS
Java
Postgres
Python

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