Associate Software Developer
United States - Genesys Cloud Services
Toronto, ON, Canada20h ago
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Key details
- Salary
- $76K–$99K/yr
- Location
- Toronto, ON, Canada
- Work style
- Onsite
- Level
- Entry level
- Job type
- Full-time
- Experience
- 0–2 yrs
- Function
- Software engineering
- Focus area
- Full stack
- Posted
- 20h ago
Skills
About the role
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.
Role Overview:
Build Workforce Management capabilities that help organizations plan, manage, and support their workforce while improving the experiences they deliver to customers. As an Associate Software Developer within the Genesys Workforce Engagement Management (WEM) portfolio, you will contribute across the full stack, building scalable backend services with Kotlin, Spring Boot, AWS Lambda, and cloud technologies, alongside intuitive frontend experiences using TypeScript, Vue.js, HTML, and CSS/LESS.
You will work with experienced engineers, product managers, designers, and cross-functional partners to turn product needs into reliable software used in enterprise environments. AI-assisted development tools will be part of your engineering workflow, helping you accelerate learning, improve productivity, troubleshoot problems, and deliver high-quality software responsibly.
Your work will directly influence the reliability, usability, performance, and scalability of Workforce Management experiences. You will gain hands-on exposure to cloud-native and serverless architecture, AI-enabled engineering practices, full-stack development, and enterprise software at global scale, building technical depth and increasing ownership as your experience grows.
Key Responsibilities:
- Develop full-stack Workforce Management capabilities that improve how enterprise customers plan, manage, and support their workforces
- Build reliable and scalable backend services and APIs using Kotlin, Spring Boot, AWS Lambda, and related cloud technologies
- Create intuitive, accessible, and responsive user experiences using TypeScript, Vue.js, HTML, and CSS/LESS
- Collaborate with engineers, product managers, designers, and cross-functional partners to translate customer and product needs into high-quality software
- Deliver clean, maintainable, and well-tested code that strengthens product quality and supports the long-term evolution of the WEM platform
- Resolve software defects across the full technology stack using monitoring, debugging, and root-cause analysis to improve service reliability and customer experience
- Contribute to code reviews, technical discussions, automated testing, and continuous improvement while expanding your engineering judgment through collaboration with experienced team members
- Strengthen the performance, security, reliability, and scalability of WEM capabilities used in enterprise customer environments
Required Qualifications:
- 0 to 2 years of professional software development experience, including internships, co-op placements, or equivalent practical experience
- Foundational experience with object-oriented programming and modern software development principles
- Experience with, or demonstrated ability to learn, backend development using Kotlin, Java, Spring Boot, or similar technologies
- Experience with frontend development using JavaScript or TypeScript and a modern framework such as Vue.js, React, or Angular
- Working knowledge of HTML and CSS, including responsive and accessible user interface development
- Familiarity with cloud technologies and services, preferably AWS, including serverless technologies such as AWS Lambda
- Understanding of software engineering practices including version control, automated testing, code reviews, debugging, and continuous integration
- Familiarity with AI-assisted development tools and an interest in using AI responsibly to support software development, learning, problem-solving, and productivity
- Strong problem-solving and communication skills, with the ability to collaborate effectively within a cross-functional software development team
Preferred Qualifications:
- Experience gained through a software development internship, co-op placement, academic project, open-source contribution, or professional role
- Familiarity with Kotlin, Spring Boot, Vue.js, TypeScript, or comparable full-stack technologies
- Exposure to AWS or another major cloud platform, with an interest in cloud-native and serverless software development
- Experience using AI-assisted development tools to support coding, testing, debugging, learning, or other software engineering activities
Benefits That Support You:
We invest in your well-being, because when you’re at your best, so are the experiences you create.
- Comprehensive extended group health coverage
- Generous paid time off, including vacation and personal leave
- Retirement savings program with employer RRSP matching up to a prescribed maximum amount
- Family-friendly benefits, including parental leave top-up and adoption assistance
- Growth and development opportunities through access to learning resources and internal mobility programs
Exact details of these programs, including the conditions for eligibility, the amount of the benefit (including caps on benefits and customary pricing details), the length of the paid time off, etc. will be provided upon hire and is subject to Genesys policies.
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.
$75,500.00 - 99,100.00Working 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.
This is an active opening at Genesys. We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team, looking beyond keywords to focus on your experience and potential.
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 reasonable.accommodations@genesys.com.
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.