Senior developer - PS Innovations (JavaScript , Node.JS or Python)

Genesys; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Genesys is seeking a data-focused professional in Chennai to build and operate AI-powered data pipelines, ensuring data quality and delivering actionable insights for complex customer environments.

You will collaborate with business stakeholders, data science teams, and engineering to translate requirements into scalable analytics solutions and to visualize findings for stakeholders across regions.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.

Responsibilities

• Interface with business customers, gathering and understanding requirements.
• Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results.
• Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis.
• Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes.
• Build, improve, and provide ongoing optimization of high-quality models.
• Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues, and feature requests.

Skills

Elasticsearch

Kibana

Real-time analytics

AWS/Azure/GCP

Java/NodeJS/Python

REST API/JSON

Data modelling

Education

Bachelor’s / Master’s degree in quantitative field

Tools

Snowflake

Tableau

ELK

Docker

SQS

Lambda / EKS / ECS

Job description

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Summary

• Interface with business customers, gathering and understanding requirements.
• Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results.
• Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis.
• Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes.
• Build, improve, and provide ongoing optimization of high-quality models.
• Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues, and feature requests.
• Continuous improvement in reporting, analysis, and overall process.
• Visualize, present, and demonstrate findings as required.
• Perform knowledge transfer to customer and internal teams.
• Communicate within the global community respecting cultural, language, and time zone variations.
• Demonstrate flexibility to adjust working hours to match customer and team interactions.

Desired Candidate Profile

• Bachelor’s / Master’s degree in quantitative field (e.g., Computer Science, Statistics, Engineering)
• 5+ years of relevant experience in Data Science or Data Engineering
• 5+ years of hands‑on experience in Elasticsearch, Kibana, and real‑time analytics solution development
• Hands‑on application development experience in AWS/Azure/GCP and it is good to have experience in Snowflake, Tableau, or ELK
• Good working knowledge on any programming language like Java, NodeJS,Python.
• Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage
• Expertise with data modeling, data warehousing, and ETL/ELT development
• Proficiency with REST API, JSON, AWS
• Experience in working and delivering projects independently.
• Ability to multi-task and context switch between projects and tasks
• Curiosity, passion, and drive for data queries, analysis, quality, and models
• Excellent communication, initiative, and coordination skills with great attention to detail.
• Ability to explain and discuss complex topics with both experts and business leaders.

Desired Skill Set

• Hands on Experience with JavaScript , Node.JS or Python
• Hands experience with AWS Application development, (Lambda, ECS Fargate, EKS, Docker , SQS, etc..)

Working at Genesys

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support
• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
• Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

• Our Talent Acquisition team reviews your application with the hiring team
• A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
• Next, you'll meet the hiring manager and other members of the interview team
• We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases
• After interviews are complete, our team will follow up with the final steps

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

About Genesys

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. 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.ai.

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 [e-mail].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

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.