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.

---

About the Program

Confidential Client’s Frontier program builds AI-augmented engineering teams that combine AI, software engineering, cloud, data, quality, infrastructure, and operations to deliver measurable business outcomes. As a Frontier Certified Engineer (FCE), you’ll join a structured, early-career program that blends training, mentorship, and hands-on project work to help you become an AI-enabled software engineer.

---

What You’ll Gain

• Structured onboarding and a hands-on engineering bootcamp
• Mentorship from experienced engineers, architects, and AI practitioners
• Practical experience with AI-assisted development tools and modern engineering practices
• Exposure to cloud technologies, automation, and data-driven solutions
• Frontier certifications and ongoing technical learning opportunities
• Work on client projects that produce measurable business impact

---

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 while collaborating with teammates and AI tools
• Support development of AI-enabled applications, workflows, and automation solutions
• Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance
• Contribute to building knowledge systems, retrieval workflows, and data-driven features that improve AI experiences
• Help with testing, deployment, monitoring, documentation, and operational support tasks
• Collaborate in a small, cross-functional pod to deliver measurable customer outcomes
• Apply responsible AI principles and engineering best practices
• Continuously learn new tools, technologies, and delivery approaches
• Participate in technical training, certifications, and hands-on learning experiences

---

Required Qualifications

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

---

Preferred Qualifications (not required)

• Experience with one or more programming languages such as Python, Java, JavaScript, TypeScript, or C#
• Exposure to cloud platforms (Azure, AWS, or Google Cloud)
• Familiarity with generative AI, large language models, or prompt engineering
• Exposure to APIs, automation tools, databases, or data engineering concepts
• Familiarity with source control (Git) and collaborative development practices
• Experience with academic, internship, or personal projects involving software development, AI, cloud, or automation
• Interest in responsible AI and continuous technical learning

---

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 environment
• Participate in ongoing technical learning and certification programs with Frontier engineering development resources

---

Compensation & Benefits

• Base salary: $100,000 per year
• Eligible for the client’s discretionary annual performance-based bonus
• Benefits supporting physical, mental, and financial wellbeing (details provided by the hiring organization)
• We regularly assess market data to maintain competitive compensation

---

Location & Work Authorization

• This is a hybrid role that requires approximately 3 days per week onsite in a client or Confidential Client office in Toronto, ON (subject to business and client requirements)
• Applicants must be legally authorized to work in Canada without requiring employer sponsorship now or at any time in the future

---

Start Date & Timeline

• Expected start: September 2026 (final start date will be communicated if selected)
• Applications may be reviewed on a rolling basis; specific posting close dates will be provided on the live posting

---

Additional Disclosures

• Reasonable accommodations are available upon request for candidates with disabilities during the hiring process
• Careertakes supports a fair hiring process; screening may include automated tools but final hiring decisions are made by people

---

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.