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 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 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 internship role, you’ll partner with a distributed team to build and support a variety of analytical big data products while also learning practical skills to build on. 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 daily.
What you’ll be doing in this role:
· Develop and deploy highly available, fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud Analytics platform.
· Actively review code and provide peer feedback.
· Collaborate with engineering teams to identify and resolve pain points as well as evangelize best practices.
· Partner with various teams to transform concepts into requirements and requirements into services and tools.
· Engineer efficient, adaptable and scalable architecture for all stages of data lifecycle (ingest, streaming, structured and unstructured storage, search, aggregation) in support of a variety of data applications.
· Build abstractions and re-usable developer tooling to allow other engineers to quickly build streaming/batch self-service pipelines.
· Build, deploy, maintain, and automate large global deployments in AWS.
· Help troubleshoot production issues and come up with solutions as required.
What you need to be successful in this role:
· Currently enrolled in Computer Science, Engineering or related discipline
· You have a basic understanding of Java and maybe you’ve used Python or similar languages as well but Java is the primary code base.
· You are interested 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.
· You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.
Technologies we embrace:
· Right tool for the right job over we-always-did-it-this-way.
· Packer and ansible for immutable machine images.
· AWS for cloud infrastructure.
· Infrastructure (and everything, really) as code.
· Automation for everything. CI/CD, testing, scaling, healing, etc.
· Kafka for stream processing.
· Hadoop, Hive, and Spark for batch.
· Apache Iceberg for data lakes
· Airflow for orchestration.
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:
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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.
