Team Lead, Analytics
3 days ago
Build something new with a world-class team.
At Genesys, we allow our employees to make their mark by entrusting them to make decisions and do what they’ve been hired to do: their very best. Your potential is waiting; why are you?
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 developers, product managers, and data scientists to build and support a variety of analytical big data products. The best person will have a strong development 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.
Overview of the role
- Manage a scrum team of software developers.
- 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.
- Build abstractions and re-usable developer tooling to allow other developers to quickly build streaming/batch self-service pipelines.
- Build, deploy, maintain, and automate large global deployments in AWS.
Required experience and skills
- Experience leading and growing a technical team
- Experience working with Apache Spark
- Experience as a software developer using Java 8+
- Experience working in an AWS cloud environment
- Experience working with data pipeline administration tools (Airflow, etc.)
- Experience managing large data sets
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.
- Ansible for immutable machine images.
- AWS for cloud infrastructure.
- Automation for everything. CI/CD, testing, scaling, healing, etc.
- Hadoop and Spark on EMR for batch processing.
- Airflow for orchestration.
- DynamoDB and S3 for query and storage.
About Genesys:
Every year, Genesys® orchestrates more than 70 billion remarkable customer experiences for organizations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organizations can realize Experience as a Service℠, our vision for empathetic customer experiences at scale. With Genesys, organizations have the power to deliver proactive, predictive, and hyper personalized experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement. By transforming back-office technology to a modern revenue velocity engine Genesys enables true intimacy at scale to foster customer trust and loyalty. Visit
Reasonable Accommodations:
Reasonable Accommodations Form
Genesys is an equal opportunity employer committed to diversity 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.
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