Lead Big Data Engineer

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 literally 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 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 create and support a variety of analytical big data products. The best person will have a deep 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 create 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:

• Partner with various teams to transform concepts into requirements and requirements into services and tools.
• Develop abstractions and re-usable developer tooling to allow other engineers to quickly deliver streaming/batch self-service pipelines.
• Develop and deploy highly-available, fault-tolerant software that will help encourage improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud Analytics platform.
• 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.
• Troubleshoot production issues and come up with solutions as needed.
• Collaborate with engineering teams to identify and resolve pain points and proselytize best practices.
• Create, deploy, maintain, and automate large global deployments in AWS.
• Actively review code, mentor, and provide peer feedback.

This may be the perfect job for you if:

• Be adaptable and open to exploring new technologies and prototyping solutions within a reasonable cadence.
• 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 developing 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 have engineered scalable software using big data technologies (e.g., Hadoop, Spark, Hive, Presto, Elasticsearch, etc).
• Open to mentoring and collaborating with junior members of the team.
• You have experience creating data pipelines (real-time or batch) on large complex datasets.
• You have expertise in Java. Python and other object-oriented languages are a plus.
• You have a deep engineering background with ability to design software systems from the ground up.

Technologies we use and practices we hold dear:

• Packer and Ansible for immutable machine images.
• Hadoop, Hive, and Spark for batch.
• Right tool for the right job over we-always-did-it-this-way.
• AWS for cloud infrastructure.
• Automation for everything. CI/CD, testing, scaling, healing, etc.
• Airflow for orchestration.
• Dynamo, Elasticsearch, Presto, and S3 for query and storage.
• We pick the language and frameworks best suited for specific problems.

#remote

About Genesys:

Every year, Genesys orchestrates billions of 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 www.genesys.com.

Reasonable Accommodations:

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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.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.