Senior Software Engineer

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.

About the team

The Analytics & Reporting team powers the backend behind customer-facing analytics and reporting in the Genesys Cloud platform. We build the services that handle configuration, orchestration, data processing, and large-scale export delivery for enterprise customers worldwide. This is a collaborative, curious, and supportive group that values honest feedback, celebrates wins together, and believes good engineering happens when people genuinely enjoy working with each other.

What you will do

• Design, build, and operate backend services that process, transform, and deliver analytics and reporting data at scale.
• Own features end-to-end: requirements analysis, API and data model design, implementation, testing, deployment, and production support.
• Architect reliable distributed systems: define service boundaries, async workflows, data contracts, failure strategies, and scaling approaches.
• Write clean, testable Java with Spring Boot; build and maintain APIs that other teams and customers depend on.
• Integrate deeply with AWS managed services for compute, messaging, storage, and observability as part of your day-to-day work.
• Drive quality through comprehensive unit and integration testing, meaningful code coverage, and stable CI pipelines.
• Participate in technical decision-making: evaluate tradeoffs, select methods and tools, and document decisions clearly for the broader team.
• Mentor and coach junior engineers through pairing, code review, and knowledge sharing; help set the technical standard in your area.
• Collaborate with senior individual contributors to shape technical direction and improve engineering practices across the organization.

Must have

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of professional backend software development experience (a relevant Master's or Ph.D. may reduce required experience by 2-4 years).
• Deep proficiency in Java (modern versions, e.g. Java 12+) and the Spring ecosystem (Spring Boot, dependency injection, REST controllers, configuration management).
• Hands-on AWS experience with services commonly used in application backends: compute, IAM, messaging/queuing, storage, monitoring, and logging.
• Strong understanding of distributed systems: asynchronous processing, event-driven patterns, retry strategies, idempotency, consistency trade-offs, and failure handling.
• Solid API design skills: RESTful contracts, versioning, error handling, and documentation that other teams can rely on.
• Disciplined approach to testing: unit tests, integration tests, and the judgment to know what level of testing a change needs.
• Comfort working in multi-module Maven projects with shared libraries across services.
• Strong communicator with an ownership mindset, a genuine interest in mentoring junior engineers, and the kind of positive energy that makes a team fun to work with.

Nice to have

• Python for AWS Lambda functions, scripting, or lightweight services alongside Java.
• Apache Kafka or similar event streaming platforms (producer/consumer patterns, topic design, operational awareness).
• Valkey/Redis for caching, session management, or rate limiting.
• DynamoDB or comparable NoSQL databases (data modeling, access patterns, capacity planning).
• Experience with infrastructure as code (CloudFormation, Terraform) and automated deployment pipelines.
• Familiarity with resilience libraries (e.g. Resilience4j), distributed tracing (OpenTelemetry), or container-based integration testing (Testcontainers).
• Exposure to QA automation in Java: building API-level test frameworks, writing test data generators, and validating backend services using SDK-based helpers and assertion libraries.
• Prior involvement in project leadership: scoping work, delegating tasks, and reviewing deliverables across a small team.

Why this role

You will not just write code. You will shape how analytics and reporting works for thousands of enterprise customers, make architectural decisions that stick, and grow alongside a team that values both engineering depth and a healthy, enjoyable work culture.

#LI-GR1

#LI-Remote

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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].

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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.