[Hiring] Senior Software Engineer - Developer Experience @Genesys

Role Description

The Senior Software Engineer - Developer Experience is a hands-on individual contributor focused on improving how engineers build, test, and deliver software across Genesys. You will design and deliver scalable tooling, automation, and development workflows that reduce friction, increase delivery velocity, and improve software quality. You will also help advance Genesys's AI-enabled software development lifecycle (AI-SDLC), applying sound technical judgment as AI capabilities and engineering practices evolve. This role has no direct reports; you will lead through technical ownership, mentorship, and collaboration.

Qualifications

• Demonstrated understanding of how AI is changing software development, with the ability to evaluate emerging tools and practices, learn rapidly as capabilities evolve, and apply effective approaches to engineering workflows.
• Strong hands-on software engineering experience using Python, Java, or another modern programming language, with demonstrated experience designing and delivering production-quality software or developer tooling.
• Experience in developer productivity, DevOps, or platform engineering, with a track record of delivering complex technical initiatives and contributing to cross-team efforts.
• Strong experience with CI/CD systems, version control, automated testing frameworks, and cloud-native development environments (preferably AWS) or infrastructure projects.
• Experience using software delivery metrics such as deployment frequency, lead time, build reliability, or change failure rate to identify and improve engineering workflows.
• Ability to influence adoption of tools and practices through collaboration, technical judgment, clear communication, and effective partnership across engineering teams.
• Experience with developer infrastructure, observability, and testing technologies such as GitHub, Terraform, Honeycomb, Gremlin, Playwright, or comparable tools.

Requirements

• Implement and continuously improve AI-enabled software development practices, evaluating emerging capabilities and incorporating effective approaches into development, testing, and delivery workflows while maintaining quality, security, and reliability.
• Automate build, test, and release processes across the software development lifecycle to reduce manual effort, improve consistency, and shorten delivery cycles.
• Use software delivery and quality metrics, including build success rates, test effectiveness, lead time, deployment frequency, and change failure rate, to identify bottlenecks, prioritize improvements, and measure impact.
• Contribute to technical design and reusable frameworks for developer tooling and platforms, balancing developer usability, scalability, security, and operational reliability.
• Partner with platform, security, and application teams to deliver developer experience improvements aligned with enterprise standards and engineering needs, and support adoption by gathering feedback and iterating based on usage and impact.
• Mentor engineers through code and design reviews, pairing, and knowledge sharing to strengthen engineering practices within the team and partner teams.

Benefits

• Paid volunteer time.
• August Free Fridays.
• Well-being resources.
• Regionally tailored programs for employees and their families.