Senior Software Engineer

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.
The Role
As a Senior Software Engineer on the Work Automation team, you will lead the design and delivery of high-quality, scalable software that powers key capabilities across our product roadmap. You will help take ambiguous problems, shape them into clear technical plans, and own their delivery end to end—from idea to production and ongoing operation—while raising the technical bar and the effectiveness of the engineers around you.
We build cloud-native, microservices-based solutions designed for scale, reliability, and security. You’ll collaborate closely with engineers, product managers, and designers, and you will help guide technical direction for the team, mentor less experienced engineers, and influence stakeholders across teams.
Genesys Software Engineers think deeply about performance, security, scalability, and usability. We primarily develop in Python , Angular, and Java, and build on a wide range of AWS cloud services.
You will play a key part in shaping and driving our transition to an AI-assisted software development lifecycle (AI-SDLC), driving adoption and development of new AI tooling to redefine the way we work, deliver software, and bring intelligence into our products. Critical thinking is central: you will set the standard for how AI output is evaluated, trusted, and improved.
Key Responsibilities
Own features and services end to end, including APIs, events and storage. That covers design, build, test, deploy, monitoring and production support, with minimal oversight.
Break down ambiguous problems into clear plans. Write and present design docs that set out alternatives and trade-offs, provide recommendations to the team and stakeholders, and help set the team’s technical direction.
Build for scale and reliability. Weigh performance, security, cost and wider system impact, and reduce tech debt deliberately.
Own operational health: monitoring, alerting, on-call, incident response and blameless post-mortems with follow-through.
Mentor and coach junior engineers, onboard new joiners, and give constructive, teaching-oriented code reviews. Delegate and review work on projects you lead.
Work closely with Product Managers and UX designers to shape requirements and solutions.
Communicate progress, risks and blockers early, explain technical concepts to varied audiences, and collaborate with globally distributed teams.
Apply best practices for data security, traceability and information sharing.
Drive AI adoption and experimentation across the full SDLC. Evaluate and build AI tooling such as Skills, Agents, MCPs, measuring the impact on how we deliver software. Define appropriate guardrails, and coach engineers to critically evaluate and take ownership of AI-generated output.
Minimum Requirements
Bachelor’s degree in Computer Science, Software Engineering or a related discipline, or equivalent experience, and a minimum of 5 years of relevant experience.
Strong Python and/or Java experience.
Experience with RESTful APIs and event-driven messaging.
Understanding of software engineering concepts such as code design, architecture and distributed systems concepts, including eventual consistency, fault tolerance, idempotency and circuit breakers.
Experience designing and operating services on AWS using CI/CD pipelines.
Proven record of owning complex features end to end, including production support and debugging in unfamiliar code.
Experience writing designs and articulating technical trade-offs, plus experience mentoring engineers.
Excellent communication skills.
Experience applying AI in software development, or demonstrable interest and practical experimentation with AI-assisted development.
Our Benefits:
At Genesys, we’re committed to supporting your well-being, growth, and work–life balance. Our comprehensive benefits package includes:
Flexible work options – Choose what works for you with hybrid schedules, work-from-home flexibility, and the option to collaborate onsite in our state-of-the-art Galway office.
Career development & growth – Access continuous learning opportunities, mentoring, and clear paths for advancement.
Competitive pension scheme – Invest in your future with an excellent employer-supported pension plan.
Annual bonus program – Be rewarded for your impact and contributions.
Comprehensive health coverage – Including private health insurance, access to company dental plan, and wellness supports.
Financial protection – Enjoy Income Protection and Life Assurance, along with access to dedicated financial planning resources to help you make confident, informed decisions about your future.
Family-friendly policies – Generous paid maternity and paternity leave
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

Skills
Python, Java, Angular, REST API, Microservices, AWS, CI/CD, Talent Acquisition