Principal Software Development Engineer

Genesys empowers more than 8,000 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 Data & Analytics Team

The Data & Analytics Platform and Technology team is a global team that serves Genesys users across the business by providing a data ecosystem comprised of data storage, data ingestion, data consumption, and many other capabilities.

Responsibilities

• Work with product owners to drive platform architecture and technologies that meet the needs across business domains at Genesys.
• Drive architectural design with other principal engineers, enterprise architecture, etc. on technology solutions that achieve measurable results at scale.
• Provide technical thought leadership for efficient API architecture, data pipeline architecture, data warehouse architecture and business intelligence functions.
• Guide, mentor, influence, and design a modern data architectural while adopting and building best practices and standards.
• Drive a data operations mindset by monitoring and analyzing information to platform performance to discover ways of enhancing them.
• Collaborate with cross-function teams to design interfaces that support data integration (ingress and egress) with internal and external platforms.
• Drive technology evaluations as it relates to data and analytics including POT/POC’s.

Requirements

• 10 years of enterprise data engineering and software engineering experience
• Proficiency with building scalable, serverless API architectures levering Python
• Proficiency with building enterprise grade data solutions leveraging technologies such as AWS, Databricks, Snowflake, or similar.
• Experience with cloud database technologies such as Azure, Snowflake, Databricks, Google, AWS or similar.
• Experience with cloud-based data integration tools/frameworks such as dbt, Glue, or similar.
• Experience with cloud-based data orchestration such as MWAA.
• 10+ years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R …