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 a strong 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.
Summary:
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, mentor, 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
Troubleshoot production issues and come up with solutions as required.
This may be the perfect job for you if:
You have a strong engineering background with ability to design software systems from the ground up.
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.
You are proficient in Java.
You should also bring some of the following skills:
Proficiency with cloud technologies, preferably AWS
Experience with streaming data using Kafka and Flink
Experience with Druid as a datastore for timeseries data
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.
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 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.
