Lead Software Engineer, CRM and Integrations

Genesys•Virtual Office (Indiana), IN

12d•$147,100 - $258,700•Hybrid

About The Position

We are looking for a Lead Software Engineer to join the CRM and Integrations team at Genesys Cloud. The Genesys Cloud CRM integration platform powers deep integrations with Salesforce, ServiceNow, Zendesk, and our embedded framework. The team is responsible for designing, building, and scaling integrations with telephony providers, CRM platforms, and the AWS ecosystem — delivering highly available, cloud-based services that enable Genesys customers to seamlessly connect with the CRM or in-house solution of their choice. In this role, you will help deliver scalable, secure, and reliable UIs and services, with a focus on integration points and contracts. You will work on distributed, cloud-based systems supporting message routing, delivery, tracking, and operational visibility across multiple voice and digital channels. The ideal candidate is an experienced Lead/Staff engineer who can independently deliver high-quality features, influence architectural direction, and make sound decisions on reliability, scalability, and operability.

Requirements

Bachelor's or Master's degree in Computer Science or a related discipline.
8+ years of software engineering experience, with demonstrated technical leadership and cross-team impact.
Strong understanding of modern web UI frameworks and REST API-based architectures.
Experience building and operating cloud-native or microservice-based applications.
Hands-on experience with at least one major CRM platform (Salesforce, ServiceNow, or equivalent).
Hands-on experience with at least one major CRM APIS (Apex, Lightning, NestJS, …)
Full-stack development experience, with genuine interest and proficiency in both front-end and back-end challenges.
Proficiency in at least two modern JavaScript frameworks (React, Vue, Svelte, or equivalent).
Experience with NestJS or equivalent Node.js backend frameworks for building RESTful API services.
Strong fundamentals in algorithms, data structures, and distributed systems design.
Proven experience with event-driven and service-oriented architectures (e.g., Kafka, Kinesis, SQS).
Solid understanding of OAuth 2.0 / PKCE authentication, WebRTC, and cross-origin communication patterns (iFrame, PostMessage).
Hands-on experience with automated testing, continuous integration, and continuous deployment practices.
Self-starter with strong problem-solving skills and the ability to translate complex problems into practical solutions.
Pragmatic, action-oriented, and growth-minded.

Responsibilities

Build modern integration solutions using web UI frameworks, REST APIs, and cloud services, while upholding strong engineering quality and operational discipline.
Develop and maintain integration capabilities with mainstream CRM systems and third-party providers, covering the full stack as required by the integration architecture.
Partner with product, engineering, security, and operations teams to deliver reliable, customer-facing capabilities.
Contribute to technical design reviews, code reviews, and engineering best practices.
Write and maintain automated tests across unit, integration, and end-to-end layers, including continuous operations automation.
Drive improvements in system reliability, scalability, performance, monitoring, alerting, and incident response.
Deploy, automate, and maintain large-scale AWS infrastructure with a focus on reliability, performance, and efficiency.
Participate in the team's on-call rotation and contribute to the continuous improvement of service operations.
Foster a culture of innovation by experimenting with new technologies, AI-assisted development workflows, and modern engineering approaches that improve scalability, developer productivity, and user experience.
Apply AI-powered development practices responsibly to accelerate prototyping, implementation, testing, and operational efficiency — without compromising engineering quality standards.
Review code, mentor peers, share best practices, and proactively help other teams resolve platform pain points before they reach production.
Troubleshoot production incidents with urgency and sound judgment, leveraging AI-assisted workflows to move quickly from symptom to root cause while retaining full ownership.