As a Senior Backend Engineer, you will play a crucial role in enhancing our product.
We are seeking a skilled backend developer who is ready to be challenged, contribute to process optimisation, and isn't afraid to question the status quo.
The ideal candidate will have expertise in Node.Js and TypeScript, with a strong understanding of scalable backend architecture.
You will be responsible for designing and building scalable backend solutions using Node.Js with TypeScript, overseeing AWS infrastructure, and contributing to DevOps practices (CI/CD, monitoring, cloud architecture).
In addition, you will improve backend estimations, technical planning, and collaborate on roadmap alignment.
Apart from these responsibilities, you will design and implement robust authentication systems, payment integrations, and API services, leading technical execution of our custom video infrastructure project.
Furthermore, you will ensure backend performance, security, and reliability at scale.
We are looking for a talented individual who can thrive in a fast-paced, remote team environment.
The successful candidate will have exceptional communication and organisational skills, as well as fluent English proficiency.
We offer autonomy and flexibility, with the option to work from anywhere and visit our office when needed.
A dynamic work environment where your ideas will directly influence our strategies and product development awaits you.
This is an excellent opportunity to create a significant impact in the health sector.
The following key qualifications are required:
* Expertise in Node.Js and TypeScript
* 5+ years of backend development experience
* Familiarity with AWS cloud services, especially around storage, compute, and user management
* Mastery of coding principles like DRY and SOLID
* Agile Scrum proficiency and ability to work with evolving requirements
Bonus points will be given for hands-on experience with CI/CD and DevOps workflows, experience with Stripe, In-App Purchases (IAP), or dual payment models, experience with AI/ML technologies or projects, experience in a startup or scale-up environment, and experience in a product-focused setting.