About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

What You’ll Gain

Confidential Client’s Frontier program is designed to train early-career technologists to work with AI-assisted engineering tools, cloud platforms, and modern software delivery practices. This role offers structured onboarding, hands-on bootcamp projects, mentorship, and opportunities to earn Frontier certifications while contributing to client solutions.

• Structured onboarding and a hands-on engineering bootcamp
• Mentorship from experienced engineers and AI practitioners
• Practical experience across AI, cloud, software engineering, automation, and delivery
• Certification and ongoing learning opportunities
• Work in small, cross-functional pods focused on measurable business outcomes

---

Key Responsibilities

As a Frontier Certified Engineer, you will:

• Learn to use AI-assisted development tools and emerging engineering technologies to build and improve software solutions
• Write, test, debug, and enhance code in collaboration with teammates and AI-powered tools
• Support development of AI-enabled applications, workflows, and automation solutions
• Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance
• Help build knowledge systems, retrieval workflows, and data-driven solutions that improve AI experiences
• Contribute to testing, deployment, monitoring, documentation, and operational support tasks
• Collaborate within a small, cross-functional pod to deliver measurable customer and business outcomes
• Apply responsible AI principles and engineering best practices
• Participate in technical training, certifications, workshops, and hands-on learning experiences

---

Required Qualifications

We encourage candidates to apply even if they don't meet every preferred qualification listed below.

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or a related field
• Recent graduate or early-career professional with technical experience from coursework, internships, co-ops, research, military service, certifications, hackathons, capstone projects, open-source contributions, or personal projects
• Demonstrated interest in software development, cloud technologies, artificial intelligence, data engineering, or automation
• Strong analytical, troubleshooting, and problem-solving skills
• Strong written and verbal communication skills
• Ability to collaborate effectively in a team environment
• Curiosity, adaptability, and a rapid learning mindset
• Ownership mindset and accountability for delivering high-quality work

---

Preferred Qualifications

These are helpful but not required; equivalent academic or hands-on experience counts.

• Experience with one or more languages: Python, Java, JavaScript, TypeScript, C#, or similar
• Exposure to cloud platforms: Microsoft Azure, AWS, or Google Cloud
• Familiarity with generative AI, large language models, prompt engineering, or AI-assisted development tools
• Exposure to APIs, automation platforms, databases, software development methodologies, or data engineering concepts
• Familiarity with Git and collaborative development workflows
• Project experience from internships, academic work, or personal/open-source projects involving software, AI, cloud, data, or automation
• Interest in responsible AI and continuous technical growth

---

Training & Certification

• Pass the Frontier Center of Excellence assessment covering AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals
• Complete the Frontier engineering bootcamp with hands-on project work in a collaborative pod
• Participate in ongoing technical learning, certifications, and Frontier development programs
• Learn directly from experienced Frontier practitioners

---

Total Compensation

• Base salary: $100,000 per year (as stated by the client)
• Eligible for discretionary annual performance-based bonus
• Benefits supporting physical, mental, and financial wellbeing

---

Location & Start Date

• Hybrid role requiring in-office presence approximately 3 days per week in a Toronto, ON office (as stated by the client)
• New hire start date: September 2026 (final start date subject to business needs and availability)

---

Additional Disclosures

• Confidential Client will only consider applicants who are legally authorized to work in Canada without employer sponsorship now or at any time in the future.
• Applications for this position are reviewed by the client’s recruitment team.
• This posting may represent future hiring needs; posting dates and start dates are subject to change based on business requirements.
• Careertakes acts as a third-party recruiting platform facilitating this hiring process. Final hiring decisions are made by the client.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.