Senior Software Engineer – GenAI, AWS, Python & Java
Skills and Responsibilities
• Bachelor’s degree in computer science or a relevant field.
• 10 years of experience building large-scale, multi-tier distributed software systems.
• Hands-on experience in cloud technologies, particularly AWS services.
• Hands-on expertise with Python, Lambda functions, APIs, LLM Models, and Java.
• Experience with DevOps culture, tools, and best practices (e.g., Bitbucket, Ansible, Jenkins, CDD).
• Strong communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.
• Ability to work and collaborate with cross-functional teams across multiple locations.
• Strong problem-solving abilities and analytical skills with a keen eye for detail and the ability to assess alternatives, risks, and benefits.
• Demonstrates agility in learning and implementing cutting-edge technologies across diverse tech stacks.
• Candidates with eligibility for Reliability Status Clearance will be preferred.
• Location: Toronto, Canada; Hybrid work model.
• Occasional work outside of normal business hours as part of a global team.
• Occasional weekend work in support of project delivery and implementations.
• This role offers an exciting opportunity to shape the future of customer contact center technology and drive innovation on a global scale.
• The successful candidate will play a pivotal role in transforming engineering practices and delivering cutting-edge solutions that enhance client experience and operational efficiency.
• We are looking for an experienced and high-performing Full-Stack Software Engineer with at least 10 years of software development experience.
• This role will be instrumental in driving innovation, implementing cloud capabilities, and building GenAI solutions across contact centers in Canada, Asia, and the US.
• Participate in the design, development, and rollout of foundational cloud capabilities.
• Collaborate with cross-functional teams to implement key software delivery, cloud, GenAI, and DevOps processes.
• Create and maintain technical design artifacts that describe application functionality, solution designs, data models, interfaces, and integrations.
• Contribute and adopt global software engineering reusable best practice processes.