Senior Software Engineer

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.

The Team and Your Role

We’re a tight-knit, diverse team that believes software innovation is at the heart of creating value with AI. We’re seeking a Senior Software Engineer to join our team of accomplished professionals to help design and deliver innovative AI solutions in a cloud environment. You’ll leverage advanced technical knowledge to solve complex problems, influence project direction, and mentor junior staff while working in a collaborative environment where people feel comfortable bringing their authentic selves to work.

What You Will Do:

• Technical Leadership & Architecture: Lead design discussions, contribute to HLA/HLD documents, and solve complex problems using advanced technical concepts while making architectural decisions that optimize performance and maintainability

• Project & Feature Ownership: Take responsibility for entire projects from design through deployment, collaborating with Product Managers and cross-functional teams to deliver comprehensive solutions

• Mentorship & Team Development: Provide guidance and training to junior staff, set technical direction, and demonstrate leadership while contributing to strategic technical decisions across the organization

• Production Excellence & Innovation: Troubleshoot complex production issues, champion CI/CD and security best practices, and drive adoption of emerging technologies while maintaining high engineering standards

Required Skills & Experience:

• Education & Experience: University degree in Computer Science or related field (or equivalent experience), with 5+ years of software engineering experience

• Advanced Programming & Architecture: Expert-level Python/Java skills with deep OOP/FP knowledge, design patterns expertise, and proven ability to design complex systems and microservices architectures

• Cloud & Data Technologies: Advanced AWS knowledge, distributed systems experience, serverless computing (Lambda), and understanding of data streaming platforms (Kafka) and analytics frameworks (Spark)

• DevOps & Quality Leadership: Proficient in CI/CD tooling, advanced Git skills, testing-first mindset, and ability to debug complex production issues with systematic problem-solving approaches

• Leadership & Communication: Excellent interpersonal skills with proven ability to mentor team members, manage technical projects, and influence technical decisions across cross-functional teams

Desirable – The following would be great additions but are not required:

• AI/ML Expertise: Advanced machine learning knowledge, AI engineering practices, and experience with ML frameworks in production environments

• Advanced Architecture & DevOps: Deep understanding of event-driven architecture, advanced microservices patterns, SRE principles, and infrastructure as code

• Strategic & Innovation Experience: Understanding of release cycles, ability to size complex development activities, and experience with proof-of-concept development and emerging technology evaluation

• Personality & Culture Fit: An awkward sense of humor and collaborative mindset (we appreciate authenticity!)

What We Offer:

We offer the opportunity to lead technical initiatives affecting millions of users globally while working with cutting-edge AI/ML technologies and contributing to research initiatives. You’ll have clear advancement paths toward technical leadership with strategic influence on product direction. We provide remote work options and maintain a culture built on mutual support, psychological safety, and work-life balance where team members actively help each other succeed.

Our Benefits

• Flexible work schedules and work-from-home options

• Development and career growth opportunities

• Excellent pension scheme

• Bonus scheme

• Health Insurance

• Income Protection & Life Assurance

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If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries 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, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

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].

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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.