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.
Join the Analytics Lakehouse team to design and operate mission-critical, highly scalable data services in a fast-moving, experiment-driven environment.
You’ll work at the intersection of data engineering and quality, building robust pipelines, scalable architectures, and secure, testable systems.
What you’ll do
- Design, build, and maintain high-scale data ingestion and hydration pipelines
- Develop reliable, scalable backend services supporting a distributed, multi-tenant platform
- Diagnose and resolve complex system and test failures end-to-end
- Lead and contribute to system design, architecture discussions, and code reviews with a strong quality focus
- Ensure systems meet non-functional requirements: scalability, availability, latency, memory efficiency, security, and compliance (including HIPAA)
- Implement and maintain unit, integration, and end-to-end tests integrated into CI/CD pipelines
- Mentor and support teammates; contribute to engineering and testing best practices across global teams
- Evaluate and adopt new technologies; take ownership of features and operational excellence
Minimum requirements
- 5+ years of relevant experience; BS in Computer Science or equivalent practical experience
- Proficiency in Java
- Proven Big Data experience, including hands-on work with large-scale data processing systems
- Strong experience with Apache Spark (PySpark or Scala Spark)
- Solid data platform experience (data lakes, ETL pipelines, data modeling, governance)
- Experience building and operating REST APIs and multi-service (microservices/serverless) architectures
- Strong understanding of distributed systems (scalability, synchronization, fault tolerance)
- Experience with messaging systems and integration patterns
- Strong written and verbal communication skills
Core technical skills
- PySpark / Apache Spark (DataFrame API, SQL, partitioning, performance tuning)
- At least one JVM language (Java or Kotlin) for services or serverless workloads
- Build and test tooling: Gradle or Maven, pytest, tox
- Git workflows, code reviews, CI/CD pipelines
- Observability: logging, monitoring, and alerting
AWS & Data Platform Experience
- AWS Glue (ETL jobs, Data Catalog, performance tuning, auto-scaling)
- AWS Lambda (Python or Java), S3 (lifecycle policies, KMS, event-driven patterns)
- SQS/SNS, IAM (roles, policies, cross-account access), CloudFormation
- Columnar data formats and partitioning strategies
- ETL design patterns (batch processing, idempotency, partition overwrite)
- Workflow orchestration (DAGs)
- Testing/QA tooling (e.g., moto for AWS mocking, CI integration)
- Experience with microservices or serverless architectures
Nice to have
- Apache Iceberg, AWS Lake Formation (fine-grained access control)
- Apache Airflow; query engines such as Athena, Trino, Redshift Spectrum
- Serverless Framework
- Cost optimization (e.g., Glue/EMR tuning)
- Jenkins pipelines (Groovy)
- Experience with Scala and/or Python is an advantage
Culture & expectations
We’re looking for engineers who raise the bar for those around them. You’ll be expected to:
- Act as a talent multiplier through mentoring and knowledge sharing
- Challenge assumptions and drive continuous improvement
- Take ownership and pride in delivering high-quality solutions
- Stay curious and continuously learn
Our benefits
At Genesys, we support your well-being, growth, and work–life balance:
- Flexible work options – Hybrid setup with remote flexibility and access to our Galway office
- Career development – Continuous learning, mentorship, and growth opportunities
- Pension scheme – Competitive employer-supported plan
- Annual bonus – Rewarding your impact and contributions
- Health coverage – Private health insurance, dental plan, and wellness support
- Financial protection – Income protection, life assurance, and financial planning resources
- Family-friendly policies – Generous maternity and paternity leave
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. 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 [email protected].
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.
