Why This Job is Featured on The SaaS Jobs
Genesys Cloud sits in the mature, enterprise SaaS segment where reliability and platform primitives matter as much as feature delivery. This role is anchored in a core AI enablement team, which signals work that underpins multiple product surfaces rather than a single application area. The focus on shared services, contracts, and operational resilience reflects how large SaaS platforms industrialize AI adoption through reusable backend capabilities.
For a SaaS engineering career, the strongest signal here is exposure to production-grade patterns that translate across cloud software businesses. Building microservices that other teams depend on tends to sharpen judgment around API design, observability, rollout safety, and incident-driven iteration. Hands-on integration with managed cloud services and LLM platform components also builds practical experience in how SaaS vendors operationalize generative AI within governance, latency, and availability constraints.
This position fits an engineer who prefers platform work, enjoys clarifying interfaces between teams, and is comfortable owning services through deployment and post-release monitoring. It is also a good match for someone who wants to deepen distributed-systems fundamentals while staying close to applied AI, without needing to be positioned as a pure research role.
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.
Job Title: Senior Software Engineer
Department & Team: Genesys Cloud CX and Core Services, Core AI Team
Job Reports to: Joe Fruland
Job Summary
As a Senior Software Engineer, you will be responsible for the development of components and services that form Genesys’ core AI platform—shared backend capabilities that help development teams quickly implement and test their LLM powered features, integrate with AWS Bedrock, and provide enterprise-grade resiliency. You will work with a team based out of Indianapolis in a fast-paced environment where we iterate quickly, harden production paths, and experiment responsibly with new AI features.
Major Responsibilities / Activities
- Contribute to microservices (Java/Spring Boot) that power AI innovation across teams.
- Design and implement features through agile practices (chartering, story mapping, backlog refinement, stand-ups).
- Integrate with AWS (Bedrock Runtime, DynamoDB, IAM-aligned client usage) and keep integrations testable and observable.
- Work with product management and other engineering teams to fix production issues, clarify requirements, and evolve public and private contracts (REST/OpenAPI).
- Write unit and integration tests; keep builds green (including coverage and integration-test gates).
- See features through deployment into production (config, rollout, and post-release monitoring as applicable).
- Adhere to the Genesys Code of Business Conduct and Ethics.
Minimum Requirements
- Experience with software engineering in Java (or comparable strength in another backend language with willingness to work primarily in Java on this team).
- Experience writing unit tests and integration tests.
- Experience with synchronization and consistency patterns in stateless distributed systems (caching, idempotency, concurrency basics).
- Demonstrable understanding of scalability and availability in distributed systems.
- Experience with Linux operating environments.
- Good verbal and written communication skills.
- Bachelor’s degree in Computer Science or related work experience.
- Source control (Git / Bitbucket, etc.).
The ideal candidate would also have experience with:
- Spring Framework (Boot, Web, validation, testing).
- Experience using AI coding tools (Cursor, Kiro, etc.)
- Maven and CI (e.g. Jenkins or equivalent).
- Amazon Web Services (e.g. Bedrock, DynamoDB, EC2, Lambda, S3, SQS, ElastiCache).
- REST APIs and server-sent events (SSE) or reactive streaming for long-lived HTTP responses.
Work Context
- Communicates regularly with colleagues and management.
- Legally eligible to work in the U.S.
- Based in or willing to work from Indianapolis as defined by team hybrid/on-site expectations.
Compensation:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$121,000.00 - $212,800.00
Benefits:
Medical, Dental, and Vision Insurance.
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off in addition to 10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments
Click here to view a summary overview of our Benefits.
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.