Manager, Software Engineering - Developer Productivity

Genesys Software Engineering Manager

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 Role

The Manager, Software Engineering – Developer Productivity leads a team focused on improving how engineers build, test, and deliver software across Genesys. This role is responsible for creating scalable tooling, automation, and development workflows that reduce friction, increase velocity, and improve software quality.

You will drive a cohesive developer experience by standardizing tools, enabling self-service capabilities, and integrating AI-powered development workflows that help teams ship reliable software faster.

What You'll Do

Developer Experience & Tooling

• Design and deliver internal developer platforms, CI/CD pipelines, and reusable tooling that streamline code development, testing, and deployment workflows
• Standardize development environments and workflows across teams using tools such as GitHub, CI/CD automation, and testing frameworks to reduce setup time and inconsistencies
• Improve developer onboarding and day-to-day productivity by creating self-service capabilities, documentation, and paved paths for common engineering tasks

Automation, Quality & AI Enablement

• Implement automation across the software development lifecycle, including build, test, and release processes, to reduce manual effort and improve delivery speed
• Integrate AI-assisted development tools (e.g., code generation, testing automation) to enhance developer efficiency while maintaining code quality and security standards
• Establish and monitor quality metrics (e.g., build success rates, test coverage, deployment frequency) to identify bottlenecks and drive continuous improvement

Engineering Leadership & Adoption

• Lead, mentor, and grow a team of engineers focused on developer productivity, setting clear priorities and measurable outcomes
• Partner with platform, security, and application teams to align tooling and workflows with enterprise standards and engineering needs
• Drive adoption of developer productivity tools and practices by engaging teams, gathering feedback, and iterating on solutions based on usage and impact

What You Bring

Required Qualifications

• Experience leading engineering teams focused on developer productivity, DevOps, or platform engineering
• Strong experience with CI/CD systems, version control (e.g., GitHub), and automated testing frameworks
• Experience improving software delivery performance using metrics such as deployment frequency, lead time, and change failure rate
• Familiarity with cloud-native development environments and infrastructure (e.g., AWS or similar)
• Ability to drive cross-team adoption of tools and standards through influence and collaboration

Preferred Qualifications

• Experience integrating AI-powered developer tools (e.g., code assistants, automation tools) into engineering workflows
• Familiarity with observability and testing tools (e.g., Playwright, Honeycomb, or similar)
• Experience in large-scale SaaS or distributed engineering organizations
• 8-10years of relevant experience.

Key Skills

• Developer Experience (DevEx)
• CI/CD & Automation
• AI-Assisted Development
• Software Quality & Testing
• Engineering Leadership

Business Impact

• Increases engineering velocity by reducing friction in development, testing, and deployment workflows
• Improves software quality and reliability through standardized tooling, automation, and measurable quality practices
• Enables scalable, consistent developer experiences that support rapid innovation across the organization