Staff Software Developer, Team Lead

locations

Toronto (Flexible)

time type

Full time

posted on

Posted Today

job requisition id

JR109055

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.

Job Description

Job Title: Staff Software Developer (Team Lead)

Department & Team: WEM-AI, QM

Reports to: VP or Director of Engineering

Location: Toronto (Flexible)

Summary:

Do you want to be part of a fast-paced and innovative team where your work and ideas will impact more than 70 billion customer interactions in over 100 countries each year through the power of the cloud and AI?

Genesys Cloud processes millions of contact centre interactions daily. Recording is a key feature set that allows interactions to be securely recorded, stored, accessed, and managed. Quality Management (QM) leverages the recordings to provide insight into the quality of the interactions through AI-driven evaluations with human insights, allowing the overall contact centre experience to be improved through agent feedback and coaching.

As a Staff Software Developer (Team Lead) on the QM Team, you will be using your technical expertise to deliver new features and drive continuous improvement of existing services. You will work in a fast-paced AI-first environment that supports continuous change, innovation, and experimentation. You will work with both established and cutting-edge technologies like Java, JavaScript, React, Python, Cursor, Amazon Kiro, Amazon Q, Kafka, DynamoDB, Redis, AWS Lambda, and various other AWS services to build on our microservices architecture. You should demonstrate mastery in one or more of these technologies, and a drive to learn and apply new technologies — including AI — to current or future projects.

This is a great opportunity for career growth to work on modern technologies in a world-class Software as a Service (SaaS) solution.

Successful candidates will have the following traits:

• Demonstrate a high level of curiosity.
• Possess solid technical and analytical skills.
• Work closely and collaboratively with team members.
• Proactively identify issues and improvement opportunities and follow up on them.
• Keep up to date on technologies, including AI tools and practices, and apply them to new or existing projects.
• Dependable and take ownership of their work.
• Strive for excellence in the work they deliver.

Key Responsibilities:

• Develop and maintain cloud applications built on top of AWS infrastructure.

• Design and implement high-quality new features with end-to-end responsibilities within the entire development process, including requirements review, architecture and high-level design, task planning, effort estimation, implementation, code review, test plan review, and documentation.

• Adopt and drive an AI-first workflow using tools like Amazon Q, Cursor, or AI code assistants to improve productivity, code quality, and innovation speed.
• Support production environment through handling support inquiries and addressing production issues.
• Provide guidance and training to other employees across the organization within area of expertise.
• Lead and be accountable for work by a small team of up to 3 engineers
• Mentor junior team members

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or related discipline.

• Minimum of 7 years of professional software development experience in back-end, front-end, or full-stack development.

• Proficiency in the use of AI technologies and tools in software development or quality improvement.
• Deep understanding of software design and implementation of large complex software solutions.
• Experience with the full software development lifecycle from development through deployment and support.
• Experience in driving software design and architecture with good understanding of scalability, availability, and reliability.
• Ability to design workflows that incorporate human-in-the-loop and AI-in-the-loop approaches.
• Experience in leading a small team to complete software projects.
• Working experience with REST APIs.
• Experience in microservices architecture and multi-tenancy are strong assets.
• Experience with Unix operating environments (Linux, macOS).

Technology Stack

Frontend: JavaScript, HTML/CSS, React/Redux, Knockout

Backend: Java, Spring Boot, Python

Amazon Web Services: EC2, S3, CloudFormation, CloudWatch, Lambda, DynamoDB, Kafka, ElastiCache (Redis), SQS

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

About Genesys:

Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. 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

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Reasonable Accommodations:

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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.