Senior Software Engineer - Developer Experience

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

ABOUT THE ROLE

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.

WHAT YOU'LL DO

Developer Experience & Platforms

·   Design and deliver internal developer platforms, CI/CD pipelines, and reusable tooling that streamline code development, testing, and deployment workflows.

·   Build and improve standardized development environments and paved workflows using GitHub, CI/CD automation, and testing frameworks to reduce setup time and inconsistencies across partner teams.

·   Improve developer onboarding and day-to-day productivity by creating self-service capabilities, documentation, and paved paths for common engineering tasks.

AI-SDLC, Automation & Quality

·   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.

Engineering Delivery & Adoption

·   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.

WHAT YOU BRING

Required 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.

Preferred Qualifications

·   Experience integrating AI-powered developer tools, code assistants, agents, or automation capabilities into engineering workflows.

·   Experience working in large-scale SaaS or distributed engineering organizations.

If you bring many of these capabilities but do not meet every qualification listed, we encourage you to apply. We value demonstrated ability, sound engineering judgment, and the capacity to learn as technologies and practices evolve.

KEY SKILLS

·   Developer Experience (DevEx)

·   CI/CD & Automation

·   AI-Enabled Software Development (AI-SDLC)

·   Software Quality & Testing

·   Technical Design & Collaboration

BUSINESS IMPACT

·   Reduces developer friction and cycle time across development, testing, and release workflows through automation, self-service capabilities, and paved paths.

·   Improves software delivery and quality indicators such as build reliability, lead time, deployment frequency, and change failure rate within supported engineering workflows.

·   Expands effective adoption of standardized and AI-enabled development practices, helping engineering teams use emerging capabilities responsibly while maintaining quality, security, and reliability.

Working at Genesys

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
• Recognized globally – Genesys is Great Place to Work®certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

• Our Talent Acquisition team reviews your application with the hiring team.

• A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.


• Next, you'll meet the hiring manager and other members of the interview team.

• We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

• After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. 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.ai.

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 [email protected].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

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.