Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
This role stands out in the SaaS ecosystem because it sits at the intersection of product-scale cloud operations and data reliability. With Genesys Cloud positioned as an AI-powered experience orchestration platform, the data layer is not a back-office function; it is part of how the business delivers measurable outcomes. The emphasis on Snowflake, high-volume API integrations, and auditability signals a mature SaaS environment where data is treated as a core system, not an afterthought.
From a SaaS career perspective, the work described maps closely to problems that recur across subscription businesses: cost-aware warehouse management, resilient ELT patterns, and operationalising near real-time decision support. The focus on self-healing pipelines and agentic AI workflows also points to modern DataOps practices, where engineering discipline and automation reduce downtime and manual intervention. Experience translating business requirements into durable data models tends to transfer well across analytics, platform, and product-adjacent data roles.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
Summary
Are you passionate about building the backbone of a data-driven organization? We are looking for a Senior Developer to lead the evolution of our cloud data ecosystem. This is an exciting opportunity to move beyond traditional ETL and pioneer agentic AI workflows and self-healing pipelines within a modern Snowflake environment. You won't just be moving data; you will be architecting a high-performance, automated data engine that empowers real-time decision-making across the entire business.
Key Responsibilities
The primary responsibilities for this role include (but are not limited to):
Design and build robust data integration workflows using Python, SQL, and Node.js.
Manage and optimize our Snowflake data warehouse, including performance tuning of complex stored procedures, implementation of advanced clustering keys, and managing cost-efficient virtual warehouses.
Develop self-healing data pipelines with integrated state logging and audit mechanisms. By implementing advanced tracking (such as MD5 hashing for change detection), you will ensure data integrity and high availability across all production sets.
Partner with Customers and team leads translate business requirements into technical data models.
Minimum Requirements
5+ years of professional experience in data engineering, with a heavy focus on ETL/ELT methodologies
Expert-level SQL and Snowflake proficiency, including hands-on experience with Snowflake Cortex, Tasks, Streams, and Snowpark.
Deep experience with advanced SQL, Python and Streamlit
Proven track record of building automated pipelines that handle high-volume API integrations and complex JSON flattening.
Performance Tuning Expertise: Demonstrated ability to debug long-running procedures and optimize warehouse utilization to manage costs effectively.
Experience with DevOps/DataOps: Familiarity with CI/CD pipelines, Git version control, and infrastructure-as-code.
Analytical Problem-Solving: Ability to independently diagnose pipeline bottlenecks and implement permanent architectural fixes.
Strong Communication Skills: Ability to explain complex technical architectures to non-technical stakeholders clearly and concisely
Desirable Skills
Experience with Generative AI and LLMs to automate DDL generation or metadata management.
Knowledge of Contact Center analytics , Genesys.
Knowledge of Streamlit application
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If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
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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.
