Remote Backend Engineer: Scalable Cloud Platform & AI

Tech4Good Recruitment; North East; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Fully remote role

Job summary

Tech4Good Recruitment is seeking a skilled backend/software systems engineer for a fully remote role supporting digital health services. You will design, build and scale backend services on a Google Cloud Platform, focusing on pragmatic tooling and reliable platforms.

You will work across cloud infrastructure, AI-assisted workflows, and modern development practices to enable a scalable service. The role suits engineers who enjoy solving real-world problems with robust, observable systems.

Qualifications

• Strong back-end software and/or systems engineering experience, with examples of platforms or systems you have personally helped build.
• Experience working with cloud-based platforms, including Google Cloud Platform (GCP), and a technology-agnostic approach to solving engineering problems.
• A demonstrable interest in AI, including practical examples of how you use AI tools to make your engineering work more efficient.

Responsibilities

• Design, build and improve scalable back-end services, systems and platform capabilities.
• Develop and maintain cloud-based infrastructure and services within a Google Cloud Platform environment.
• Use AI and modern engineering tools to improve development workflows, problem-solving and day-to-day efficiency.

Skills

Back-end development

Cloud platforms (GCP)

AI interest/use

Tools

Google Cloud Platform (GCP)

Job description

Tech4Good Recruitment is seeking a skilled backend/software systems engineer for a fully remote role supporting digital health services. You will design, build and scale backend services on a Google Cloud Platform, focusing on pragmatic tooling and reliable platforms.

You will work across cloud infrastructure, AI-assisted workflows, and modern development practices to enable a scalable service. The role suits engineers who enjoy solving real-world problems with robust, observable systems.