Jobs at Genesys

Build and operate highly available analytics platform services handling large-scale event streams and terabytes of data. Design streaming ingestion, storage, search, aggregation, and distributed systems using Java, Spring, AWS, and Kafka. Deploy and automate cloud infrastructure, improve reliability and performance, troubleshoot production incidents, and collaborate with engineering, product, and data teams. Contribute through code reviews, mentoring, testing, observability, and automation.

Own the strategy, roadmap, backlog, and delivery of internal platform engineering products that enable developers to build, deploy, operate, and secure cloud software. Partner with engineering, SRE, security, architecture, and stakeholders to improve developer experience, automation, reliability, governance, and productivity. Define measurable outcomes, manage cross-team dependencies, and identify AI and intelligent automation opportunities across the software development lifecycle.

Lead the strategy and execution of Genesys Cloud Platform Foundations, including API usage visibility, platform limits, storage reporting, configuration-as-code, CI/CD deployment workflows, self-service administration, and operational tooling. Define AI-powered operational guidance and proactive recommendations while aligning engineering, UX, customer success, field, marketing, legal, finance, and go-to-market teams. Translate complex platform systems into scalable, intuitive enterprise experiences.

Own execution of Genesys’ Agentic Orchestration product, taking validated architecture through detailed specifications, sequencing, engineering delivery, and production adoption. Lead cross-functional alignment across product, engineering, design, and senior stakeholders without relying on formal authority. Define performance and customer-outcome measures, establish telemetry and validation, resolve technical tradeoffs, and guide the roadmap for AI-driven orchestration capabilities. The role is initially an individual contributor with potential progression into people management.

As a Principal Software Engineer, you'll design backend platforms for AI products, set technical strategies, enhance APIs, and ensure operational excellence while leading multiple teams.

Design, build, test, deploy and operate high-throughput backend services in Java on AWS. Own services end-to-end (APIs, events/streams, storage), ensure scalability, stability, observability and security, participate in on-call and incident response, collaborate cross-functionally, mentor engineers, and deliver features from discovery to GA.