Software Developer in Test, Intern (WEM)

Socket.dev; Toronto; Hybrid; CAD 35,000 - 55,000; Full time

Benefits offered by this job

Hybrid work model

Mentorship program

Learning opportunities

Job summary

Genesys in Toronto, Ontario is seeking a Software Developer Intern to join the WEM Quality Assurance team. You will build AI-enhanced test automation for UI and backend services, using Java, Python, Selenium, Playwright, REST APIs, and AWS AI tools, under the guidance of senior engineers.

This hands-on role offers exposure to GenAI, data dashboards, and observability, with a hybrid schedule and 1–2 days in the downtown office each week; internship terms run 8 to 16 months starting May/June 2027.

Qualifications

• Currently enrolled in computer science, software engineering, or a related discipline.
• Strong programming fundamentals in Java, Python, or a comparable OO language.
• Familiarity with REST APIs and Git.
• Understanding of software testing, debugging, automation, or quality engineering concepts.
• Interest or experience in GenAI, prompt engineering, AI-assisted development.

Responsibilities

• Design and implement AI-enhanced automated tests for UI and backend microservices.
• Develop automated testing pipelines for reliable validation across Genesys Cloud WEM.
• Apply GenAI tools to accelerate debugging, research, and code refactoring.
• Evaluate AI-generated code for accuracy, maintainability, and security.
• Build data-rich dashboards and defect analysis to surface quality trends.
• Investigate performance and software behavior using testing and observability tools.
• Drive quality throughout the software development lifecycle with evidence-based validation.
• Collaborate with senior engineers and cross-functional partners to improve automation and processes.

Skills

Java

Python

Selenium

Playwright

REST APIs

Git

GenAI

Education

Pursuing Bachelor’s in CS/SE

Tools

Git

AWS Bedrock

Kiro

Job description

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.

Internship Details: This internship/co-op opportunity is based in Toronto, Ontario and follows a hybrid work model. Candidates should be able to work from our downtown Toronto office 1–2 days per week, depending on team and business needs.

We are considering students available for internship/co-op terms ranging from 8 to 16 months beginning in May/June 2027

Role Overview: Help strengthen the quality and reliability of Genesys Cloud Workforce Engagement Management (WEM), contributing to software that supports billions of customer interactions globally. As a Software Developer Intern on the WEM Quality Assurance team, you will build AI-enhanced test automation for user interfaces and backend microservices while using GenAI throughout the software development lifecycle to improve engineering productivity and software quality. You will gain hands‑on experience with Java, Python, Selenium, Playwright, REST APIs, AWS AI technologies, and production observability tools while learning how to evaluate AI-generated output critically and apply it responsibly. Working alongside senior engineers, you will contribute to quality engineering practices that identify defects earlier, improve test coverage, and increase confidence in software releases. At Genesys, you will have opportunities to expand your software engineering, automation, cloud, and GenAI skills while contributing to products that improve experiences for employees and customers.

Key Responsibilities:

• Design and implement AI‑enhanced automated tests for user interfaces and backend microservices that improve test coverage and release confidence
• Develop and evolve automated testing pipelines that support reliable, scalable, and maintainable quality validation across Genesys Cloud WEM
• Apply GenAI tools such as Kiro, Amazon Q Developer, Amazon Bedrock, and Claude to accelerate debugging, research, test development, and code refactoring
• Evaluate AI-generated code and recommendations critically to ensure accuracy, maintainability, security, and meaningful test coverage
• Build data‑rich dashboards and defect analysis capabilities that surface quality trends and help teams improve product experiences
• Investigate performance and software behaviour using testing, debugging, and observability tools to identify issues earlier in the development lifecycle
• Drive quality throughout the software development lifecycle by creating tests that add meaningful value and validating assumptions through evidence
• Collaborate with senior engineers and cross‑functional partners to strengthen automation, engineering practices, and continuous improvement

Required Qualifications:

• Currently enrolled in computer science, software engineering, computer engineering, or a related discipline
• Strong programming fundamentals in Java, Python, or a comparable object‑oriented programming language
• Familiarity with REST APIs and version control systems such as Git
• Understanding of software testing, debugging, automation, or quality engineering fundamentals
• Interest or experience in GenAI, prompt engineering, AI‑assisted software development, or related technologies
• Strong analytical and problem‑solving skills with an interest in investigating complex technical issues
• Ability to collaborate effectively while taking ownership of the quality and maintainability of your work
• Understanding that software quality is integrated throughout development rather than validated only at the end of the lifecycle

Preferred Qualifications:

• Exposure to test automation technologies such as Selenium, Playwright, or TestNG
• Familiarity with development and delivery tools such as Jenkins, Maven, Git, or Bitbucket
• Exposure to GenAI technologies such as Kiro, Amazon Q Developer, Amazon Bedrock, or Claude
• Familiarity with observability, analytics, or development tools such as Sumo Logic, JQL, New Relic, SSMS, or Confluence

Compensation:

This role has a market‑competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance‑based bonus opportunities.

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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.

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

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 [e-mail].

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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 andveteran status, and other protected characteristics.