Senior Backend Engineer

About Us

Moncel is one of the fastest growing companies in the online education space. With 7 international brands, and operations in Canada, Australia, and the United States, we are an exciting blend of the technology and learning sectors. Our company is made up of a rapidly growing team of talented professionals, focused on delivering the highest standard of online training to the food and hospitality sectors worldwide.

Over the last decade our start-up has grown from a small team of two in Brisbane, Australia to a global group determined to improve the way online education is performed.

In addition to our business goals in commercial training & education services, we are proud of our commitments to charitable activities. Moncel regularly engages with and donates to organizations that support the community in the area of public health, as well as helping feed tens of thousands of people each year.

About the Role

The Senior Backend Engineer (AWS) is a critical member of Moncel's Technology team, reporting directly to the Head of Technology and working closely with the Product and Technology Systems teams. In this role, you will own backend systems and integrations that power the Moncel One platform, ensuring the reliability, scalability, and performance of our cloud-based infrastructure.

You'll design and maintain backend services using AWS technologies, build and optimize serverless architectures, and integrate with a wide range of third-party platforms, including Shopify, Auth0, Salesforce, Amplitude, Klaviyo, and applications. This is a high-impact role where your work directly supports Moncel's product innovation and growth.

What You'll Be Doing

• Design, build, and maintain backend services using AWS technologies, including Lambda, DynamoDB, S3, Step Functions, EventBridge, and API Gateway.
• Architect and manage API integrations with third-party systems such as Shopify, Auth0, Salesforce, Amplitude, Klaviyo, and Moncel's Client Applications built on
• Optimize backend systems for scalability, performance, and reliability.
• Manage CI/CD pipelines, testing processes, and deployment workflows.
• Troubleshoot and resolve backend issues across development, staging, and production environments.
• Collaborate with frontend engineers and product managers to deliver seamless platform features.
• Contribute to architectural decisions and participate in product roadmap discussions.
• Mentor and provide technical guidance to future backend team members as Moncel scales.

What You Have

• Advanced AWS expertise with Lambda, DynamoDB, S3, Step Functions, EventBridge, API Gateway, and IAM.
• Skilled in backend development using and TypeScript.
• Strong experience designing, developing, and consuming APIs (REST, GraphQL).
• Proficient in CI/CD pipeline management and DevOps best practices.
• Experience working with distributed systems and event-driven architectures.
• Comfortable integrating with platforms like Shopify, Salesforce, Auth0, Amplitude, and Klaviyo.
• Self-motivated, highly autonomous, and an excellent problem solver.
• Demonstrated leadership and mentorship capabilities.

Your Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of backend engineering experience, preferably in AWS-driven production environments.
• Proven experience delivering backend systems at scale in startup or scale-up environments.
• Proficiency in Git workflows and modern development tools.
• Experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT) is a plus.
• AWS certifications (e.g., Solutions Architect, Developer, or Serverless) are an asset.

What we're offering

• A high-impact role shaping Moncel's backend architecture and engineering roadmap.
• Remote-first work environment, with 1–3 in-person team catch-ups per quarter.
• The opportunity to work on a greenfield platform with modern technologies.
• A dynamic, collaborative, and innovative team culture.
• Clear opportunities for career growth within a fast-growing online education company.

Interview Process

• Aptitude Assessment: A take home online test to help us understand your problem-solving strengths.

• Initial Screening: A quick chat about you, your experience and why you want to join Moncel.

• Technical Assessment: A short take-home coding test where you'll complete coding tasks and answer questions assessing both your technical and soft skills.

• Hiring Manager Interview: A conversation focused on role-specific criteria, including your relevant experience, approach to the work, and alignment with the expectations of the position.

• Skills Testing Interview: An in-depth conversation and collaborative session designed to evaluate both your technical capabilities and soft skills through detailed examples from your past experience and a hands‑on exercise with our team.

• Work History Interview: An opportunity to discuss your work experience in more detail and see how you align with our team culture.

• Background Check: Offers are subject to meeting employment requirements, including reference and background checks.

Please Note

At Moncel, we are proud to be an equal opportunity employer. We welcome and actively encourage applications from individuals of all backgrounds, experiences, and lifestyles. If you require accommodations at any stage of our virtual interview process, please don't hesitate to contact our Human Resources team at We are committed to providing an inclusive and accessible candidate experience.

All applicants must be legally authorized to work in either Australia or Canada. Unfortunately, candidates who do not meet this requirement will not be considered for the position.

As part of our employment verification process, we may contact your current and/or previous employers to confirm your resignation, including your last working day.

AI in Recruitment

At Moncel, we thoughtfully integrate artificial intelligence (AI) into our recruitment process to improve efficiency and enhance the candidate experience. AI tools may be used to support administrative and repetitive tasks such as drafting preliminary job descriptions, generating initial interview questions, and occasionally identifying potential candidates. Importantly, AI is never used to make final hiring decisions. All key hiring decisions are made by our team, guided by standardized processes designed to minimize bias and uphold fairness throughout the recruitment journey.

We are committed to the responsible and transparent use of AI in alignment with industry best practices and evolving legal standards. Our recruitment practices are regularly reviewed and refined to ensure they continue to prioritize equity, integrity, and a positive experience for all applicants.