Senior Software Engineer, Big Data

Genesys empowers more than 7,500 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experiences at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time.  

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.

·        Build and maintain big data pipelines on EMR managed by Airflow.

·        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 expertise in Java, Python or similar programming languages.

·        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 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.

·        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.

·        Hadoop, Hive, and Spark for batch.

·        Airflow for orchestration.

·        Druid, Dynamo, Elasticsearch, Presto, and S3 for query and storage.

About Genesys

Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experience as a ServiceSM so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys CloudTM, an all-in-one solution and the world’s leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com. 

Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. #LI-AR2

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

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 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.