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, an organization in the IT industry.

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

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What You'll Gain

Confidential Client’s Frontier Certified Engineer (FCE) program is a structured, early-career engineering development path that combines hands-on projects, instructor-led learning, mentorship, and real client exposure. As an FCE you will:

• Participate in a structured onboarding experience and a hands-on engineering bootcamp
• Work alongside experienced engineers, architects, and AI practitioners
• Develop skills across AI, software engineering, cloud, automation, and modern delivery practices
• Learn to use AI-assisted development tools and contribute to AI-enabled solutions
• Earn Frontier certifications and continue with ongoing technical learning opportunities
• Join a collaborative pod-focused delivery model that emphasizes measurable business outcomes

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Who We're Looking For

This is an entry-level opportunity designed for recent graduates and early-career technologists. We welcome applicants who have demonstrated technical aptitude through academic programs, internships, personal projects, hackathons, research, military experience, or other hands-on work.

Ideal candidates typically have backgrounds in:

• Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or related technical disciplines
• Demonstrable interest in software development, cloud platforms, AI, automation, or data engineering
• Strong problem-solving ability, communication skills, curiosity, and a growth mindset

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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-powered tools
• Support development of AI-enabled applications, workflows, and automation solutions
• Evaluate AI-generated outputs for quality, accuracy, and business relevance
• Contribute to knowledge systems, retrieval workflows, and data-driven solutions that improve AI experiences
• Participate in testing, deployment, monitoring, documentation, and operational support activities
• Collaborate within a small, cross-functional pod and apply responsible AI principles and engineering best practices
• Continuously learn new tools, technologies, and delivery approaches

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Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or related technical discipline
• Recent graduate or early-career professional with technical experience gained through coursework, internships, co-ops, research, military experience, certifications, hackathons, capstones, 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 in a team-oriented environment
• Curiosity, adaptability, and willingness to learn quickly
• Ownership mindset and accountability for delivering quality work

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Preferred Qualifications

(Preferred but not required — we encourage applications from candidates who meet some of these through coursework, internships, or personal projects.)

• 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, or prompt engineering
• Experience with APIs, automation platforms, databases, or data engineering concepts
• Familiarity with Git and collaborative development practices
• Personal, academic, or internship projects involving software development, AI, cloud, or automation

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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, workshops, and mentorship with Frontier practitioners

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Compensation, Location & Start Date

• Base salary: $100,000 per year.
• This position is eligible for the client’s discretionary performance-based bonus and benefits that support physical, mental, and financial wellbeing.
• Work arrangement: Hybrid — typically requires 3 days per week in a client or Confidential Client office in Toronto, ON (subject to project and business requirements).
• Start date: New hires will start in September 2026 (final start date will be determined based on business needs and availability).

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Additional Disclosures

• Applicants must be legally authorized to work in Canada without employer sponsorship now or in the future.
• This is an early-career / entry-level role. Applicants are encouraged to apply even if they do not meet every preferred qualification listed above.
• Confidential Client is committed to responsible AI practices and building AI-augmented engineering capabilities through training, assessment, and mentorship.

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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.