Sr. Software Engineer (Java) - Big Data

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.

The Genesys Cloud Analytics platform is the foundation on which decisions are made that directly impact our customer’s 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 to enable other development teams, to measuring performance across our customer-base, to offering insights directly to our end-users, we use our terabytes of data to move customer experience forward.

In this role, you’ll partner with software engineers, product managers, and data scientists to build and support a variety of analytical big data products. The best person will have an excellent engineering background, not shy from the unknown, and will be able to articulate vague requirements into something real. We are a team whose focus is to operationalize big data products and curate high-value datasets for the wider organization as well as to build tools and services to expand the scope of and improve the reliability of the data platform as our usage continues to grow on a daily basis.

Key Responsibilities:

• Develop and deploy highly available, fault-tolerant software to improve Genesys Cloud Analytics platform features, reliability, and performance.

• Design and maintain scalable big data pipelines on AWS using tools like EMR and Airflow.

• Collaborate with engineering teams to resolve pain points and advocate for best practices.

• Partner with cross-functional teams to transform vague requirements into operational tools and services.

• Architect efficient, scalable solutions for data ingestion, storage, and aggregation to support a variety of applications.

• Build reusable tooling to enable rapid development of self-service data pipelines for other engineers.

• Deploy and automate large-scale global systems in AWS, ensuring robust monitoring and reliability.

• Troubleshoot and resolve production issues in real-time as necessary.

What We’re Looking For:

• You have an excellent engineering background with ability to design software systems from the ground up.

• You have expertise in Java as this is our main language.

• You have experience in web-scale data and large-scale distributed systems, ideally on cloud infrastructure.

• You have a product mindset. You are energized by building things that will be heavily used.

• Familiarity with AWS or other Cloud technologies.

• Thorough understanding of distributed systems and micro service architecture

• You have deep knowledge of  Spark, Hadoop and know how to build and manage data pipelines with Airflow.

• You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.

Technologies We Use:

• Java and Python for development.

• AWS for cloud infrastructure.

• CI/CD for automation, testing, and scaling.

• Hadoop, Hive, Spark for batch processing.

• Airflow for orchestration.

• Druid, DynamoDB, Elasticsearch, Presto, and S3 for data storage and querying.

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.

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

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries 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, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

Genesys is an equal opportunity employer committed to equity 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.